Matthew A. Lanham

Matthew A. Lanham, Ph.D., CAP-X, ACE
Assistant Professor of Business Technology and Analytics
Lacy School of Business
Butler University
Dugan Hall DH317
4600 Sunset Avenue | Indianapolis, IN 46208
Email: mlanham1@butler.edu | Office: 317-940-9419

Experiential Learning
Experiential learning projects provide students the opportunity to tackle real-world problems with industry partners, compete in analytics competitions, or conduct applied research to support business decisions. These experiences yield tangible portfolio artifacts that showcase students’ knowledge, skills, and abilities to prospective employers. If you are a student interested in participating in an experiential learning project, I will be working with those that are members of Butler's forthcoming INFORMS student chapter. 2026 2025 2025 INFORMS Annual Meeting (Atlanta, GA) (2025, INFORMS AM) INFORMS Analytics Framework (IAF) Workshop The 20th INFORMS Workshop on Data Mining and Decision Analytics (Atlanta, GA) (2025, DMDA) The Design and Outcomes of the National Data4Good Competition: A Pathway to Student Career Readiness 2025 Lacy School of Business Clubs Fair (Indianapolis, IN) (2025, LSB) Butler INFORMS Student Chapter Call Out 2025 Purdue Undergraduate Research & Mentoring Showcase (West Lafayette, IN) (2025, URMS) Krenicki Center Business Analytics Undergraduate Research 2025 INFORMS Analytics+ Conference (Indianapolis, IN) & Midwest Decision Sciences Institute (MWDSI) Conference (Erie, PA) (2025, INFORMS) LLM-Powered Agents for B2B Sales Pipeline [Video][Future Edelman Video][MWDSI Paper] INFORMS 2nd Place MWDSI 3rd Place Graduate Student Paper (2025, INFORMS) Risk Benchmarking for Open-Source Large Language Models [Video][MWDSI Paper] (2025, INFORMS) Leveraging Modeling & Analytics to Derive Insights for Loyalty Campaigns [Video][MWDSI Paper] (2025, INFORMS) Phantom Inventory Detection & Prediction: A New Light On Out-Of-Stocks [Video][MWDSI Paper] INFORMS 3rd Place MWDSI 2nd Place Graduate Student Paper (2025, INFORMS) Enchanging Judicial Efficiency and Access to Justice [Video][MWDSI Paper] (2025, INFORMS) Mapping the Path to Translations: Empowering SIL to Reach New Frontiers in Language Translation [Video][MWDSI Paper] MWDSI 1st Place Graduate Student Paper MWDSI Social Media Award 2025 Purdue Spring Undergraduate Research Conference (West Lafayette, IN) (2025, PURC) A Software Application to Predict and Optimize Healthcare Insurance Costs 3rd Place Research Talk (2025, PURC) BetteR Bets: A Decision Support Tool for Sports Betting 3rd Place (tie) (2025, PURC) A Patient Decision Support Tool for Simplifying Medical Information (2025, PURC) fRaud: An R-Shiny Application To Identify Financial Transaction Fraud (2025, PURC) ExamBoost: A Data-Driven Approach to Improve Student Exam Outcomes (2025, PURC) PoliticaLens: An R-shiny Application to Evaluate Political Bias in American News (2025, PURC) Forthcoming... 2024 2024 Purdue Fall Undergraduate Research Expo (West Lafayette, IN) (2024, PURE) AI-Driven Survivor Journey Mapping for TAPS: Automating Grief Stage Classification 2nd Place (tie) (2024, PURE) TAPS Grief Journey with R and AI 2nd Place (tie) (2024, PURE) From Data to Compassion: An AI-Powered Model for Survivor Support in Military Communities 3rd Place (2024, PURE) Comparative Analysis of AI Pipelines for Multi-Modal Story Generation and Visualization: Balancing Complexity, Performance, and Adaptability OR/MS Tomorrow Mini-poster Competition 2024* The Visual Transformation of Children’s Bible Stories Using AI Undergraduate - Honorable Mention 2024 Purdue Summer Undergraduate Research Symposium (West Lafayette, IN)* (2024, PUSRS) Predicting & Optimizing the Productivity of Garment Employees: A Novel Analytics Design to Improve Resource Allocation & Efficiency (2024, PUSRS) Predictive Maintenance in Drilling Operations: A Machine Learning Approach for Drill Bit Failure Prediction (2024, PUSRS) Predictive Maintenance to Reduce Machine Downtime (2024, PUSRS) Predictive Analysis of Seoul Bike Sharing Demand 2024 INFORMS Analytics Conference (Orlando, FL) & 20th International Conference on Data Science (ICDATA'24) (Las Vegas, NV) (2024, INFORMS AC) Supply Chain Vigilance: Optimizing Inventory with Stockout Risk Modeling & BI Driven Real-Time Dashboard for Supplier Performance 1st Place (2024, INFORMS AC) Optimizing Manufacturing Supply Chains: A Time Series Approach for Demand Forcasting Social Media Award (2024, INFORMS AC) Beyond the Contract: An Analytical Approach to Supplier Risk Assessment (2024, INFORMS AC) Rewiring the Frontline: Building a Sustainable Talent Management for the Future of Work [Video] (2024, INFORMS AC) Advanced Network Solutions for Supply Chain Excellence (2024, INFORMS AC) Generating Culturally Appropriate Avatars [ICDATA Paper] (2024, INFORMS AC) Audio-to-Text Alignment (2024, INFORMS AC) LAMA (LLM-Powered Autonomous Marketing Agent) [Video][ICDATA Paper] (2024, INFORMS AC) Decentralized Learning for Data Privacy: The Federated Way (2024, INFORMS AC) Investment Analysis: An AI-Powered Chatbot for Mining Investment Insights [Video][ICDATA Paper] (2024, INFORMS AC) Energy Market Time Series Forecasting: Balancing Demand and Supply 2024 Other Projects (2024) Leveraging Machine Learning to Generate Product Descriptions in eCommerce OR/MS Tomorrow (2024 Spring/Summer Issue) Mini-poster Competition Integrating Open AI into An R Shiny App: A Tool to Generate Pictures from Stories Undergraduate - 1st Place Using Large Language Models for Entity Extraction in the Healthcare Sector Graduate - 2nd Place 2023 2023 Purdue University Fall Undergraduate Research Expo (West Lafayette, IN) (2023, PURE) Integrating Open AI into An R Shiny App: A Tool to Generate Pictures from Stories 1st Place 2023 Purdue University Summer Undergraduate Research Symposium (West Lafayette, IN)* (2023, PSRS) Customer Churn Prediction on Telecommunication Industry (2023, PSRS) Predictive Analysis of Credit Card Attrition (2023, PSRS) Predictive Analysis of Credit Risk Using Statistics and Machine Learning (2023, PSRS) Machine Learning Implementation on Diabetes Prevention (2023, PSRS) Diabetes Prevention 2023 INFORMS Business Analytics Conference (Aurora, CO) [2023 UPS George D. Smith Prize Winner] & 19th International Conference on Data Science (ICDATA'23) (Las Vegas, NV) (2023, INFORMS BA) Language Agnostic Readability Assessments (LARA) 1st Place [Video] [ICDATA'23 paper] (2023, INFORMS BA) Harnessing Artificial Data Generation to Protect Sensitive Data 2nd Place [Video] [ICDATA'23 paper] (2023, INFORMS BA) Augmenting Organizational Efficiency by Predicting Accurate Shipments Using Statistics and Machine Learning 3rd Place [Video] [ICDATA'23 paper] (2023, INFORMS BA) Scaling Speech Synthesis Models On AWS [Video] (2023, INFORMS BA) Made-to-Order: Targeted Marketing in Fast-Food Using Collaborative Filtering [Video] [ICDATA'23 paper] (2023, INFORMS BA) Forecast Enhanced Inventory Management: Utilizing Demand Sensing Techniques to Optimize Stocking Social Media Award [Video] (2023, INFORMS BA) Unstructured Data Analysis to Improve Digital Eligibility of E-Commerce Listings [Video] [ICDATA'23 paper] (2023, INFORMS BA) AI for Good: Bridging Communities through Spoken Language Models [Video] (2023, INFORMS BA) Improving Fleet Utilization: A Comprehensive Analysis With Solutions For Shipment Brokerage Market Entry [Video] (2023, INFORMS BA) Digitalization of Packing and Loading in Supply Chain Operations [Video] [ICDATA'23 paper] 2022 17th INFORMS Workshop on Data Mining and Decision Analytics (Indianapolis, IN) Coming soon... 2022 Purdue Undergraduate Research Expo (West Lafayette, IN) (2022, PURE) Designing Analytics Solutions to Solve the Right Business Objective 1st Place ORMS Today* (2022, ORMS Today) Future Edelman Impact Award Journal of Quantitative Analysis in Sports (2022, JQAS) Clustering Algorithms to Increase Fairness in Collegiate Wrestling PyCon US 2022 (Salt Lake City, UT) (2022, PyCon) Using Python Libraries to Predict, Optimize, and Provide End Users Decision Confidence 2022 Purdue Undergraduate Research Conference (Hybrid) (2022, PURC) A Natural Lanaguage-Based Phishing Detection and Risk Prevention System [Video] 2nd Place 2022 INFORMS Business Analytics Conference (Houston, TX)* [2022 UPS George D. Smith Prize Finalist] & 2022 Midwest Decision Sciences Institute Conference (Virtual) (2022, INFORMS BA) Experiments and Perceptions in Machine Translation [Video] 2nd Place [MWDSI Paper] (2022, INFORMS BA) A Hierarchical Approach and Analysis of Assortment Optimization [Video] 3rd Place [MWDSI Paper] Best Paper Award [Future Edelman Video] [Future Edelman Winner] (2022, INFORMS BA) An Automated A/B Testing and Measurement Framework [Video] [MWDSI Paper][Future Edelman Video] (2022, INFORMS BA) IP Detective: Patent infringement detection using BERT [Video] [MWDSI Paper][Future Edelman Video] (2022, INFORMS BA) Massive Multilingual Knowledge Graph of Semantic Domains [Video] [MWDSI Paper] (2022, INFORMS BA) Using Django and MongoDB to Develop a Translation Quality Checking Tool [Video] [MWDSI Paper] (2022, INFORMS BA) Intelligently Ordering Machine Translation Seed Data to Improve Local Language Translation [Video] [MWDSI Paper] (2022, INFORMS BA) E-Commerce Performance Forecasting and Digitial Market Optimization [Video] [MWDSI Paper] (2022, INFORMS BA) "Buy-again" Product Recommendation Engine through ML Using Customer Price Sensitivity [Video] [MWDSI Paper] (2022, INFORMS BA) Risks Modeling and Automated Dashboards for Banks [Video] [MWDSI Paper] (2022, INFORMS BA) Streamlining Machine Learning Lifecycle to Improve Retail Sales Performance Using MLflow [Video] [MWDSI Paper] 2022 Other Projects* Evaluating Product Mix Fit and Determining Go-To-Market Strategy for an Early Phase Tech Startup [Video] [MWDSI Paper] Mitigating Hotel Revenue Management System Risk Using Anomaly Detection in Short Booking Windows [Video] [MWDSI Paper] 2021 OR/MS Tomorrow (Winter 2021 Issue) Mini-poster Competition [In the Media] A Novel Approach to Align Forecasts to Competing Operational Business Outcomes Undergraduate - 1st Place Measureing the Comprehensibility of Hindi Text Graduate - 2nd Place [Future Edelman Video] An Analytics-Driven Holistic Stocking and Replishment Strategy Graduate - 3rd Place Language Agnostic Phone-Based Audio Search Graduate - Honorable Mention 2021 Purdue Undergraduate Research Expo (Virtual) (2021, PURE) A Two-Stage Analytics Approach to Improving Window Manufacturing Process Settings [Video] 16th INFORMS Workshop on Data Mining and Decision Analytics (Hybrid/Anaheim, CA) (2021, INFORMS DMDA) An Approach to Predict Demand for A Grocer’s Most Challenging Products: Meat and Seafood [Video] 1st Place (2021, INFORMS DMDA) Hotel Demand Forecasting and Revenue Maximization for Short Booking Windows [Video] [Future Edelman Video] 3rd Place (2021, INFORMS DMDA) Measuring the Comprehensibility of Hindi Text [Video] [Future Edelman Video] (2021, INFORMS DMDA) Auto-documentation and Audit Functionality for PyCaret [Video][Future Edelman Video] (2021, INFORMS DMDA) College Football Player Rating Using Weighted Statistics Scaling [Video] (2021, INFORMS DMDA) Language Agnostic Phone-Based Audio Search [Video] (2021, INFORMS DMDA) IP Enforcer: A Data Science Approach to Identify Potential Patent Infringers [Video] (2021, INFORMS DMDA) A Novel Approach to Predict Store Inventory [Video] (2021, INFORMS DMDA) Automation to Analytics: Designing Web Scrapers and Visualizations for Effective Geospatial Insurance Program Insights [Video] (2021, INFORMS DMDA) Using Data Mining to Identify Skills Gaps and Provide Course Recommendations [Video] (2021, INFORMS DMDA) An Analytics-Driven Holistic Stocking and Replenishment Strategy [Video] (2021, INFORMS DMDA) Automated A/B Testing and Measurement Framework [Video] (2021, INFORMS DMDA) Cybersecurity Analytics - A New Approach to Network Segmentation [Video] 2021 Virtual Purdue Undergraduate Research Conference (West Lafayette, IN) (2021, PURC) A Novel Approach to Align Forecasts to Competing Operational Business Outcomes [Video] 2nd Place 2021 INFORMS Business Analytics Conference (Virtual)* (2021, INFORMS BA) Understanding and Predicting Project Payment Latency 1st Place (2021, INFORMS BA) Feature Engineering for Sparse Demand Prediction 3rd Place (2021, INFORMS BA) Predicting Canibalization Rate on the Jingdong Platform for Spend Optimization (2021, INFORMS BA) A Life Insurance Policy Bundling Reccomendation System (2021, INFORMS BA) Visualizing Demand Forecasts for More Effective Decision-Maker Decision-Facilitator Communication 2021 KPDC Business Analytics Career Expo (West Lafayette, IN) (2021, BA Expo) A Life Insurance Policy Bundling Reccomendation System 1st Place 2021 Midwest Decision Sciences Institute Virtual Conference (Bowling Green State University)* (2021, MWDSI) Predicting Canibalization Rate on the Jingdong Platform for Spend Optimization Best Paper Award (2021, MWDSI) Understanding and Predicting Project Payment Latency (2021, MWDSI) Feature Engineering for Sparse Demand Prediction (2021, MWDSI) A Life Insurance Policy Bundling Reccomendation System (2021, MWDSI) Visualizing Demand Forecasts for More Effective Decision-Maker Decision-Facilitator Communication 2020 OR/MS Tomorrow (Fall/Winter 2020 Issue) Mini-poster Competition* Practicing What We Preach: Applying ORMS to Curriculum Decisions to Improve Student Outcomes Masters-Level Winner 2020 Purdue Fall Undergraduate Research Expo (West Lafayette, IN)* (2020, PURE) A Reinforcement Learning Approach to Dynamic Ticket Pricing (2020, PURE) A Predictive Analytics Approach to Identify Best Value Graduate Programs in Analytics & Data Science (2020, PURE) Analyzing MS in Data Analytics and Data Science Programs - Developing A Prediction System for Program Ranking (2020, PURE) The Impact of Program and Student Demographics on Graduate Analytics and Data Science Program Outcomes (2020, PURE) The Impact of Curriculum on Graduate Analytics and Data Science Degree Programs (2020, PURE) Examining Personality Traits of Analytics Talent and Their Career Placement (2020, PURE) Descriptive and Predictive Analysis of Data Science Jobs (2020, PURE) Diagnosing COVID-19 Using CT-Scan Images (2020, PURE) Predicting Average Player Rating Premier League (2020, PURE) Predicting UFC Bouts (2020, PURE) Using Descriptive and Predictive Analytics to Reduce Illegal Border Crossings in the United States (2020, PURE) Predicting Preference of Craft Beer Styles (2020, PURE) Reasons Why People Share Online Content (2020, PURE) Developing an Interpretable Machine Learning Model in Insurance (2020, PURE) Examining Statistical and Machine Learning Techniques to Predict the Stock Market (2020, PURE) A Predictive Approach to Understand How to Get a Promotion Springer Nature – Book Series: Transactions on Computational Science & Computational Intelligence / The 16th International Conference on Data Science (ICDATA'20) (Las Vegas, NV) (2020, TCSCI) A Holistic Approach for Determining Effective Promotional Product Groupings [Book Chapter] (2020, TCSCI) Enhancing User Experience by Integrating Real-Time Search Data with Historical Data to Personalize Recommendations for a Timeshare Exchange Company [Book Chapter] (2020, TCSCI) Dynamic Pricing for Sports Tickets [Book Chapter] (2020, TCSCI) Improving Physician Decision-Making and Patient Outcomes Using Analytics: A Case Study with the World's Leading Knee Replacement Surgeon [Book Chapter] (2020, TCSCI) Leveraging Insights from "Buy-Online Pickup-in-Store" data to Improve On-Shelf Availability [Book Chapter] (2020, TCSCI) Improving Model Accuracy with Probability Scoring Machine Learning Models Journal of Purdue Undergraduate Research (2020, JPUR) Out of the Box: A Dynamic Pricing Model for Professional Sports Teams 2020 Virtual Purdue Undergraduate Research Conference (West Lafayette, IN) (2020, PURC) A Dynamic Pricing Model for Professional Sports Teams [Audience Favorite Award] 2nd Place (2020, PURC) A Case Study of the Python Django Framework to Help Recruiters Identify Analytics Talent [App] 3rd Place (2020, PURC) Text Mining and Predictive Model: Our Arsenal Against the COVID-19 Pandemic useR! 2020 Conference (St. Louis, MO) (2020, useR) Novel Application of Bootstrap for New Store Sales Forecasting (2020, useR) Dynamic Pricing For Sports Event Tickets (2020, useR) A Case Study on Measuring Promotional Effectiveness in Home Décor and Their Impact on Customer Loyalty (2020, useR) Predicting Stock Outs for Buy-Online Pickup-in-Store Orders (2020, useR) New Product Performance Prediction in Fashion Retailing 2020 INFORMS Business Analytics Conference (Denver, CO) (2020, INFORMS BA) Enhancing User Experience by Integrating Realtime Search Data with Historical Data to Personalize Recommendations for a Timeshare Exchange Company (2020, INFORMS BA) A Geospatial Competitive Intrusion and Market Expansion Solution for Large Chain Retailers (2020, INFORMS BA) Novel Application of Bootstrap for New Store Sales Forecasting (2020, INFORMS BA) Improving Physician Decision-Making & Patient Outcomes Using Analytics: A Case Study with The World’s Leading Knee Replacement Surgeon (2020, INFORMS BA) Enhanced CRM System to Predict Customer Buying Patterns for Improved Sales Decision Support (2020, INFORMS BA) How a Large CPG Company Estimates Profitability of its Products on Amazon Platform (2020, INFORMS BA) A Holistic Analytics Approach for Determining Effective Promotional Product Groupings (2020, INFORMS BA) A Time-To-Event Predictive Model to Identify, Understand, and Strategically Retain Policyholders (2020, INFORMS BA) A Case Study on Measuring Promotional Effectiveness in Home Décor and Their Impact on Customer Loyalty (2020, INFORMS BA) A Novel Application of Optical Character Recognition for Product Image Compliance (2020, INFORMS BA) Predicting Stock Outs for Buy-Online Pickup-in-Store Orders (2020, INFORMS BA) Predicting Appointment Conversion with Probability Scoring ML Models (2020, INFORMS BA) DataButler: A Python-Based Tool for Automatic Data Profiling and Cataloging (2020, INFORMS BA) Data Utilization of Digital Directory Kiosk to Enhance Customers’ Experiences in American Shopping Malls (2020, INFORMS BA) New Product Performance Prediction in Fashion Retailing (2020, INFORMS BA) High Performance Computing in Business: A Case Study Collaboration Among A National Retailer and A University 2020 Southern Data Science Conference (Atlanta, GA) (2020, SDSC) A Time-To-Event Predictive Model to Identify, Understand, and Strategically Retain Policyholders 2020 Open Data Science Conference (ODSC-East) (Boston, MA) (2020, ODSC) Enhancing User Experience by Integrating Realtime Search Data with Historical Data to Personalize Recommendations for a Timeshare Exchange Company (2020, ODSC) A Case Study on Measuring Promotional Effectiveness in Home Décor and Their Impact on Customer Loyalty UofSC 2020 Big Data Health Science Conference (Columbia, SC) (2020, BDHSC) Improving Physician Decision-Making & Patient Outcomes Using Analytics: A Case Study with The World’s Leading Knee Replacement Surgeon 2020 KPDC/Krenicki Business Analytics Career Expo (West Lafayette, IN) (2020, BA Expo) Enhancing User Experience by Integrating Realtime Search Data with Historical Data to Personalize Recommendations for a Timeshare Exchange Company 1st Place (2020, BA Expo) A Novel Application of Optical Character Recognition for Product Image Compliance 2nd Place (2020, BA Expo) Predicting Stock Outs for Buy-Online Pickup-in-Store Orders 3rd Place 2020 Other Projects* Indiana Poison Center - Oral Diabetes Medication [Dashboard] 2019 2019 Purdue Fall Undergraduate Research Expo (West Lafayette, IN) (2019, PFURE) A Business Analytics Approach to Identify and Grow Customer Loyalty (2019, PFURE) A Predictive Analytics Approach to Estimate Home Loan Risk and Allocate Loans (2019, PFURE) Predicting Season Ticket Renewals for a Professional Sports Team (2019, PFURE) A Market Basket Analysis Product Recommendation System for Online Retailers (2019, PFURE) An Anomaly Detection Model to Identify Changes in Student Classroom Performance (2019, PFURE) Using Predictive Analytics to Find Forever Homes for Sheltered Pets (2019, PFURE) Learning Predictive Analytics From The NFL Big Data Bowl (2019, PFURE) Professional Golf Analytics: Predicting & Improving Player Performance (2019, PFURE) Identifying Drivers of Student Success Using Predictive Analytics (2019, PFURE) Improving Liquor Sales through Uplift Modeling (2019, PFURE) Predicting Energy Usage to Better Estimate and Market Efficiency Upgrades to Customers (2019, PFURE) Hockey Analytics: The Science of Lineup Selection (2019, PFURE) Determinants of Successful and Unsuccessful Movies Based on Worldwide Box Office Revenue 2019 Midwest Decision Sciences Institute Conference (Butler University) (2019, MWDSI) Data Wrangling to Data Science: A Dynamic Pricing Model for the Vacation Rental Industry Best Paper Award (2019, MWDSI) Supervised Learning Approach for Improving Data Quality in Sports 2019 SAS Global Forum - Student Symposium Competition (Dallas, TX)* (2019, SAS) Google Store Revenue Probability Prediction Top 8 Selection 2019 INFORMS Business Analytics Conference (Austin, TX)* (2019, INFORMS BA) Pay Now, Gain Later: Analyzing the Effects of Higher Pay Scales in Business 1st Place (2019, INFORMS BA) Data Wrangling and Data Science in Revenue Management: A Dynamic Pricing Model 3rd Place (2019, INFORMS BA) IoT in the Insurance Industry: Using Telematics Data to Strategically Manage Risks and Price (2019, INFORMS BA) An Unsupervised Approach To Understand Customer Journeys (2019, INFORMS BA) A Framework to Define, Predict and Evaluate Slow-Moving Grocery Items (2019, INFORMS BA) A Sequence Analysis Approach to Improve New Product Forecasts (2019, INFORMS BA) Holiday Forecasting: A Machine Learning Approach to Forecast Shipment Volume (2019, INFORMS BA) Predictive Analytics Approach to Understand, Predict and Reduce Distribution Center Stockouts (2019, INFORMS BA) An Innovative Prototype to Create Real-Time Commodity Product Market Intelligence (2019, INFORMS BA) Matching IP Buyers with Sellers: An Intellectual Property Recommendation System (2019, INFORMS BA) AGRO: An AGri-business Recommendation Optimization Engine for Sales Growth (2019, INFORMS BA) Improving Sales and Marketing Effectiveness Using Clustering and Market Basket Analysis (2019, INFORMS BA) Using Conditional Random Fields to Forecast Product Promotions (2019, INFORMS BA) Semantic Structure Identification Using Image Detection Algorithms (2019, INFORMS BA) Flexible Named Entity Recognition for Date-related Entities in Financial Docs (2019, INFORMS BA) Computing Cluster Usage and Cost Optimization (2019, INFORMS BA) Deploying Data Pipelines Using Kubernetes on Azure (2019, INFORMS BA) Segmentation and Forecasting for Premier E-Tailer (2019, INFORMS BA) Reducing Receipt Mismatch Costs Using Categorical Variable Imputation 2019 Purdue Undergraduate Research Conference (West Lafayette, IN) (2019) A Predictive to Prescriptive Analytics Approach for the League of Legends Team Selection Problem 1st Place 2019 KPDC Business Analytics Career Expo (West Lafayette, IN)* (2019, BA Expo) Developing a Competitor Index for Market Share Prediction in Retail 1st Place (2019, BA Expo) Pricex - An Intelligent Pricing Decision Support Tool 2019 Purdue Engagement and Service-Learning Summit (West Lafayette, IN)* (2019) Saving Lives with Effective Data Visualization: Evaluating the Effectiveness of Indiana’s Driver Ed Curriculum 2019 Southeast Decision Sciences Institute Conference (Savannah, GA) (2019, SEDSI) Balanced K-Means Algorithm with Equitable Distribution of Power Ratings Best Paper Award 2018 2018 Dawn or Doom Conference (West Lafayette, IN)* (2018, DoD) Tennis Analytics Using Machine Learning to Improve Performance of Emerging Players People's Choice Award (2018, DoD) Departure Delay Prediction for Flights [App] 3rd Place (2018, DoD) Demand Shaping: Promo Planning Using Machine Learning (2018, DoD) BirchR: An R Package for Birch Clustering (2018, DoD) Balanced K-Means Algorithm with Equitable Power Ratings (2018, DoD) A Competitive Approach for Online Price Prediction (2018, DoD) Credit Card and Fraud Detection Using Supervised Learning Algorithms (2018, DoD) Churn Prediction for a Music Service Company (2018, DoD) A Product Reccomendation System Prototype (2018, DoD) Human Resource Turnover Prediction 13th INFORMS Workshop on Data Mining and Decision Analytics (Phoenix, AZ) (2018, INFORMS DMDA) Exploring Student Matriculation and Admissions Melt in Graduate Business Programs 2018 Midwest Decision Sciences Institute Conference (Indianapolis, IN) (2018, MWDSI) Risky Business: Predicting Cancellations in Imbalanced Multi-Classification Settings Best Paper Award (2018, MWDSI) Optimal Clustering of Products for Regression-Type and Classification-Type Predictive Modeling for Assortment Planning (2018, MWDSI) Effect of Forecast Accuracy on Inventory Optimization Model (2018, MWDSI) Future LPG Shipments Forecasting Based on Empty LPG Vessels Data (2018, MWDSI) A Comparative Study of Machine Learning Frameworks for Demand Forecasting (2018, MWDSI) Forecasting Intermittent Demand Patterns with Time Series and Machine Learning Methodologies (2018, MWDSI) A Solution to Forecast Demand Using LSTM Recurrent Neural Networks for Time Series Forecasting (2018, MWDSI) Carrier Choice Optimization with Tier Based Rebate for a National Retailer (2018, MWDSI) A Proposed Data Analytics Workflow and Example Using the R Caret Package (2018, MWDSI) XGBoost - A Competitive Approach for Online Price Prediction (2018, MWDSI) Role of Political Identity in Friendship Networks (2018, MWDSI) Recruitment Analytics: An Investigation of Program Awareness & Matriculation 2018 INFORMS Business Analytics Conference (Baltimore, MD)* (2018, INFORMS BA) Risky Business: Predicting Cancellations in Imbalanced Multi-Classification Settings (2018, INFORMS BA) Clustering and Prediction Problem Framing for Sparse Demand Products (2018, INFORMS BA) Effect of Forecast Accuracy on Inventory Optimization Model (2018, INFORMS BA) Future LPG Shipments Forecasting Based on Empty LPG Vessels Data (2018, INFORMS BA) A Comparative Study of Machine Learning Frameworks for Demand Forecasting (2018, INFORMS BA) Forecasting Intermittent Demand Patterns with Time Series and Machine Learning... (2018, INFORMS BA) A Solution to Forecast Demand Using LSTM Recurrent Neural Networks for Time Series... (2018, INFORMS BA) An Optimization Approach for Assortment Planning (2018, INFORMS BA) A Retrospective Investigation of Test & Learn Business Experiments & Lift Analysis (2018, INFORMS BA) Carrier Choice Optimization with Tier Based Rebate for a National Retailer (2018, INFORMS BA) An Analytical Approach for Understanding Promotion Effects on Demand and Improving Profits (2018, INFORMS BA) A Machine Learning Approach to Delivery Time Estimation for Industrial Equiptment 2018 Other Projects (2018) Analytical Evidence to Justify Legislative Changes in State Government Polices (2018, MIT Sloan submit) A Comparison of Clustering Approaches for Automating NCAA DIII Wrestling Regional Tournament Assignments (2018) A Stochastic and Machine Learning Approach to Reduce Customer Bounce Rate 2018 Purdue Undergraduate Research Conference (West Lafayette, IN) (2018, PURC) Upgrade with Uplift: Gaining More Accurate Predictive Models with Uplift Modeling 1st Place (2018, PURC) A Predictive Approach to Help Online Discussions Become More Productive and Respectful 3rd Place (2018, PURC) Where’s Fido? Using Machine Learning to Classify Images of Dogs (2018, PURC) Does Your Analytics Masters Degree Fit the Bill? Predicting Placement Rate and Starting Salary (2018, PURC) XGBoost - A Competitive Approach for Online Price Prediction (2018, PURC) To Stock or Not to Stock: Forecasting Demand in Grocery Stores (2018, PURC) Caret Versus Scikit-learn: A Comparison of Data Science Tools for Predictive Modeling (2018, PURC) What is Your Home Worth? Predicting Housing Prices Using Regularization and Meta-Modeling (2018, PURC) Estimating Product Substitution for Grocery Items (2018, PURC) Marketing Analytics And Recruitment Practices (2018, PURC) An Investigation of Feature Engineering Approaches and Strategies 2017 2017 INFORMS Business Analytics Conference (Las Vegas, NV) (2017, INFORMS BA) An Investigation of Posterior Probabilities in Unbalanced Binary Classification Settings (2017, INFORMS BA) Predicting Shoppers Loyalty Through Transaction Behavior [paper] (2017, INFORMS BA) A Workforce Management Turnover Model for Retail Human Resources [paper] (2017, INFORMS BA) A Predictive & Prescriptive Analytics Solution to Home Improvement [DSS Shiny link] (2017, INFORMS BA) Predicting Blood Donations Using Classification Techniques [paper] 2017 Midwest Decision Sciences Institute Conference (Grand Rapids, MI) (2017, MWDSI) An Analytics Solution for Retail Employee Turnover Workforce Management [slides] (2017, MWDSI) Predicting Blood Donations Using Classification Techniques [slides] 2017 Other Projects (2017, PU BIAC Meeting) Krannert IBM Watson Personality Insights Prototype (2017, INFORMS O.R. & Analytics Student Team Comp) An Analytics Solution to Identify Elite Soybean Varities (2017, SAS Global Forum Student Symposium Comp) The Power of SAS Enterprise Miner for Textual Internal Auditing

Experiential Learning

2026

2025

2025 INFORMS Annual Meeting (Atlanta, GA)

(2025, INFORMS AM) INFORMS Analytics Framework (IAF) Workshop

The 20th INFORMS Workshop on Data Mining and Decision Analytics (Atlanta, GA)

(2025, DMDA) The Design and Outcomes of the National Data4Good Competition: A Pathway to Student Career Readiness

2025 Lacy School of Business Clubs Fair (Indianapolis, IN)

(2025, LSB) Butler INFORMS Student Chapter Call Out

2025 Purdue Undergraduate Research & Mentoring Showcase (West Lafayette, IN)

(2025, URMS) Krenicki Center Business Analytics Undergraduate Research

2025 INFORMS Analytics+ Conference (Indianapolis, IN) & Midwest Decision Sciences Institute (MWDSI) Conference (Erie, PA)

(2025, INFORMS) LLM-Powered Agents for B2B Sales Pipeline [Video][Future Edelman Video][MWDSI Paper] *INFORMS 2nd Place *MWDSI 3rd Place Graduate Student Paper

(2025, INFORMS) Risk Benchmarking for Open-Source Large Language Models [Video][MWDSI Paper]

(2025, INFORMS) Leveraging Modeling & Analytics to Derive Insights for Loyalty Campaigns [Video][MWDSI Paper]

(2025, INFORMS) Phantom Inventory Detection & Prediction: A New Light On Out-Of-Stocks [Video][MWDSI Paper] *INFORMS 3rd Place *MWDSI 2nd Place Graduate Student Paper

(2025, INFORMS) Enchanging Judicial Efficiency and Access to Justice [Video][MWDSI Paper]

(2025, INFORMS) Mapping the Path to Translations: Empowering SIL to Reach New Frontiers in Language Translation [Video][MWDSI Paper] *MWDSI 1st Place Graduate Student Paper *MWDSI Social Media Award

2025 Purdue Spring Undergraduate Research Conference (West Lafayette, IN)

(2025, PURC) A Software Application to Predict and Optimize Healthcare Insurance Costs *3rd Place Research Talk

(2025, PURC) BetteR Bets: A Decision Support Tool for Sports Betting *3rd Place (tie)

(2025, PURC) A Patient Decision Support Tool for Simplifying Medical Information

(2025, PURC) fRaud: An R-Shiny Application To Identify Financial Transaction Fraud

(2025, PURC) ExamBoost: A Data-Driven Approach to Improve Student Exam Outcomes

(2025, PURC) PoliticaLens: An R-shiny Application to Evaluate Political Bias in American News

(2025, PURC) Forthcoming...

2024

2024 Purdue Fall Undergraduate Research Expo (West Lafayette, IN)

(2024, PURE) AI-Driven Survivor Journey Mapping for TAPS: Automating Grief Stage Classification *2nd Place (tie)

(2024, PURE) TAPS Grief Journey with R and AI *2nd Place (tie)

(2024, PURE) From Data to Compassion: An AI-Powered Model for Survivor Support in Military Communities *3rd Place

(2024, PURE) Comparative Analysis of AI Pipelines for Multi-Modal Story Generation and Visualization: Balancing Complexity, Performance, and Adaptability

OR/MS Tomorrow Mini-poster Competition 2024

The Visual Transformation of Children’s Bible Stories Using AI *Undergraduate - Honorable Mention

2024 Purdue Summer Undergraduate Research Symposium (West Lafayette, IN)

(2024, PUSRS) Predicting & Optimizing the Productivity of Garment Employees: A Novel Analytics Design to Improve Resource Allocation & Efficiency

(2024, PUSRS) Predictive Maintenance in Drilling Operations: A Machine Learning Approach for Drill Bit Failure Prediction

(2024, PUSRS) Predictive Maintenance to Reduce Machine Downtime

(2024, PUSRS) Predictive Analysis of Seoul Bike Sharing Demand

2024 INFORMS Analytics Conference (Orlando, FL) & 20th International Conference on Data Science (ICDATA'24) (Las Vegas, NV)

(2024, INFORMS AC) Supply Chain Vigilance: Optimizing Inventory with Stockout Risk Modeling & BI Driven Real-Time Dashboard for Supplier Performance *1st Place

(2024, INFORMS AC) Optimizing Manufacturing Supply Chains: A Time Series Approach for Demand Forcasting *Social Media Award

(2024, INFORMS AC) Beyond the Contract: An Analytical Approach to Supplier Risk Assessment

(2024, INFORMS AC) Rewiring the Frontline: Building a Sustainable Talent Management for the Future of Work [Video]

(2024, INFORMS AC) Advanced Network Solutions for Supply Chain Excellence

(2024, INFORMS AC) Generating Culturally Appropriate Avatars [ICDATA Paper]

(2024, INFORMS AC) Audio-to-Text Alignment

(2024, INFORMS AC) LAMA (LLM-Powered Autonomous Marketing Agent) [Video][ICDATA Paper]

(2024, INFORMS AC) Decentralized Learning for Data Privacy: The Federated Way

(2024, INFORMS AC) Investment Analysis: An AI-Powered Chatbot for Mining Investment Insights [Video][ICDATA Paper]

(2024, INFORMS AC) Energy Market Time Series Forecasting: Balancing Demand and Supply

2024 Other Projects

(2024) Leveraging Machine Learning to Generate Product Descriptions in eCommerce

OR/MS Tomorrow (2024 Spring/Summer Issue) Mini-poster Competition

Integrating Open AI into An R Shiny App: A Tool to Generate Pictures from Stories *Undergraduate - 1st Place

Using Large Language Models for Entity Extraction in the Healthcare Sector *Graduate - 2nd Place

2023

2023 Purdue University Fall Undergraduate Research Expo (West Lafayette, IN)

(2023, PURE) Integrating Open AI into An R Shiny App: A Tool to Generate Pictures from Stories *1st Place

2023 Purdue University Summer Undergraduate Research Symposium (West Lafayette, IN)

(2023, PSRS) Customer Churn Prediction on Telecommunication Industry

(2023, PSRS) Predictive Analysis of Credit Card Attrition

(2023, PSRS) Predictive Analysis of Credit Risk Using Statistics and Machine Learning

(2023, PSRS) Machine Learning Implementation on Diabetes Prevention

(2023, PSRS) Diabetes Prevention

2023 INFORMS Business Analytics Conference (Aurora, CO) [2023 UPS George D. Smith Prize Winner] & 19th International Conference on Data Science (ICDATA'23) (Las Vegas, NV)
(2023, INFORMS BA) Language Agnostic Readability Assessments (LARA) *1st Place [Video] [ICDATA'23 paper]

(2023, INFORMS BA) Harnessing Artificial Data Generation to Protect Sensitive Data *2nd Place [Video] [ICDATA'23 paper]

(2023, INFORMS BA) Augmenting Organizational Efficiency by Predicting Accurate Shipments Using Statistics and Machine Learning *3rd Place [Video] [ICDATA'23 paper]

(2023, INFORMS BA) Scaling Speech Synthesis Models On AWS [Video]

(2023, INFORMS BA) Made-to-Order: Targeted Marketing in Fast-Food Using Collaborative Filtering [Video] [ICDATA'23 paper]

(2023, INFORMS BA) Forecast Enhanced Inventory Management: Utilizing Demand Sensing Techniques to Optimize Stocking *Social Media Award [Video]

(2023, INFORMS BA) Unstructured Data Analysis to Improve Digital Eligibility of E-Commerce Listings [Video] [ICDATA'23 paper]

(2023, INFORMS BA) AI for Good: Bridging Communities through Spoken Language Models [Video]

(2023, INFORMS BA) Improving Fleet Utilization: A Comprehensive Analysis With Solutions For Shipment Brokerage Market Entry [Video]

(2023, INFORMS BA) Digitalization of Packing and Loading in Supply Chain Operations [Video] [ICDATA'23 paper]

2022
17th INFORMS Workshop on Data Mining and Decision Analytics (Indianapolis, IN)
Coming soon...

2022 Purdue Undergraduate Research Expo (West Lafayette, IN)
(2022, PURE) Designing Analytics Solutions to Solve the Right Business Objective *1st Place

ORMS Today
(2022, ORMS Today) Future Edelman Impact Award

Journal of Quantitative Analysis in Sports
(2022, JQAS) Clustering Algorithms to Increase Fairness in Collegiate Wrestling

PyCon US 2022 (Salt Lake City, UT)
(2022, PyCon) Using Python Libraries to Predict, Optimize, and Provide End Users Decision Confidence

2022 Purdue Undergraduate Research Conference (Hybrid)
(2022, PURC) A Natural Lanaguage-Based Phishing Detection and Risk Prevention System [Video] *2nd Place

2022 INFORMS Business Analytics Conference (Houston, TX) [2022 UPS George D. Smith Prize Finalist] & 2022 Midwest Decision Sciences Institute Conference (Virtual)
(2022, INFORMS BA) Experiments and Perceptions in Machine Translation [Video] *2nd Place [MWDSI Paper]

(2022, INFORMS BA) A Hierarchical Approach and Analysis of Assortment Optimization [Video] *3rd Place [MWDSI Paper] *Best Paper Award [Future Edelman Video] [Future Edelman Winner]

(2022, INFORMS BA) An Automated A/B Testing and Measurement Framework [Video] [MWDSI Paper][Future Edelman Video]

(2022, INFORMS BA) IP Detective: Patent infringement detection using BERT [Video] [MWDSI Paper][Future Edelman Video]

(2022, INFORMS BA) Massive Multilingual Knowledge Graph of Semantic Domains [Video] [MWDSI Paper]

(2022, INFORMS BA) Using Django and MongoDB to Develop a Translation Quality Checking Tool [Video] [MWDSI Paper]

(2022, INFORMS BA) Intelligently Ordering Machine Translation Seed Data to Improve Local Language Translation [Video] [MWDSI Paper]

(2022, INFORMS BA) E-Commerce Performance Forecasting and Digitial Market Optimization [Video] [MWDSI Paper]

(2022, INFORMS BA) "Buy-again" Product Recommendation Engine through ML Using Customer Price Sensitivity [Video] [MWDSI Paper]

(2022, INFORMS BA) Risks Modeling and Automated Dashboards for Banks [Video] [MWDSI Paper]

(2022, INFORMS BA) Streamlining Machine Learning Lifecycle to Improve Retail Sales Performance Using MLflow [Video] [MWDSI Paper]

2022 Other Projects
Evaluating Product Mix Fit and Determining Go-To-Market Strategy for an Early Phase Tech Startup [Video] [MWDSI Paper]

Mitigating Hotel Revenue Management System Risk Using Anomaly Detection in Short Booking Windows [Video] [MWDSI Paper]

2021
OR/MS Tomorrow (Winter 2021 Issue) Mini-poster Competition [In the Media]
A Novel Approach to Align Forecasts to Competing Operational Business Outcomes *Undergraduate - 1st Place

Measureing the Comprehensibility of Hindi Text *Graduate - 2nd Place [Future Edelman Video]

An Analytics-Driven Holistic Stocking and Replishment Strategy *Graduate - 3rd Place

Language Agnostic Phone-Based Audio Search *Graduate - Honorable Mention

2021 Purdue Undergraduate Research Expo (Virtual)
(2021, PURE) A Two-Stage Analytics Approach to Improving Window Manufacturing Process Settings [Video]

16th INFORMS Workshop on Data Mining and Decision Analytics (Hybrid/Anaheim, CA)
(2021, INFORMS DMDA) An Approach to Predict Demand for A Grocer’s Most Challenging Products: Meat and Seafood [Video] *1st Place

(2021, INFORMS DMDA) Hotel Demand Forecasting and Revenue Maximization for Short Booking Windows [Video] [Future Edelman Video] *3rd Place

(2021, INFORMS DMDA) Measuring the Comprehensibility of Hindi Text [Video] [Future Edelman Video]

(2021, INFORMS DMDA) Auto-documentation and Audit Functionality for PyCaret [Video][Future Edelman Video]

(2021, INFORMS DMDA) College Football Player Rating Using Weighted Statistics Scaling [Video]

(2021, INFORMS DMDA) Language Agnostic Phone-Based Audio Search [Video]

(2021, INFORMS DMDA) IP Enforcer: A Data Science Approach to Identify Potential Patent Infringers [Video]

(2021, INFORMS DMDA) A Novel Approach to Predict Store Inventory [Video]

(2021, INFORMS DMDA) Automation to Analytics: Designing Web Scrapers and Visualizations for Effective Geospatial Insurance Program Insights [Video]

(2021, INFORMS DMDA) Using Data Mining to Identify Skills Gaps and Provide Course Recommendations [Video]

(2021, INFORMS DMDA) An Analytics-Driven Holistic Stocking and Replenishment Strategy [Video]

(2021, INFORMS DMDA) Automated A/B Testing and Measurement Framework [Video]

(2021, INFORMS DMDA) Cybersecurity Analytics - A New Approach to Network Segmentation [Video]

2021 Virtual Purdue Undergraduate Research Conference (West Lafayette, IN)
(2021, PURC) A Novel Approach to Align Forecasts to Competing Operational Business Outcomes [Video] *2nd Place

2021 INFORMS Business Analytics Conference (Virtual)
(2021, INFORMS BA) Understanding and Predicting Project Payment Latency *1st Place

(2021, INFORMS BA) Feature Engineering for Sparse Demand Prediction *3rd Place

(2021, INFORMS BA) Predicting Canibalization Rate on the Jingdong Platform for Spend Optimization

(2021, INFORMS BA) A Life Insurance Policy Bundling Reccomendation System

(2021, INFORMS BA) Visualizing Demand Forecasts for More Effective Decision-Maker Decision-Facilitator Communication

2021 KPDC Business Analytics Career Expo (West Lafayette, IN)
(2021, BA Expo) A Life Insurance Policy Bundling Reccomendation System *1st Place

2021 Midwest Decision Sciences Institute Virtual Conference (Bowling Green State University)
(2021, MWDSI) Predicting Canibalization Rate on the Jingdong Platform for Spend Optimization *Best Paper Award

(2021, MWDSI) Understanding and Predicting Project Payment Latency

(2021, MWDSI) Feature Engineering for Sparse Demand Prediction

(2021, MWDSI) A Life Insurance Policy Bundling Reccomendation System

(2021, MWDSI) Visualizing Demand Forecasts for More Effective Decision-Maker Decision-Facilitator Communication

2020
OR/MS Tomorrow (Fall/Winter 2020 Issue) Mini-poster Competition
Practicing What We Preach: Applying ORMS to Curriculum Decisions to Improve Student Outcomes *Masters-Level Winner

2020 Purdue Fall Undergraduate Research Expo (West Lafayette, IN)
(2020, PURE) A Reinforcement Learning Approach to Dynamic Ticket Pricing

(2020, PURE) A Predictive Analytics Approach to Identify Best Value Graduate Programs in Analytics & Data Science

(2020, PURE) Analyzing MS in Data Analytics and Data Science Programs - Developing A Prediction System for Program Ranking

(2020, PURE) The Impact of Program and Student Demographics on Graduate Analytics and Data Science Program Outcomes

(2020, PURE) The Impact of Curriculum on Graduate Analytics and Data Science Degree Programs

(2020, PURE) Examining Personality Traits of Analytics Talent and Their Career Placement

(2020, PURE) Descriptive and Predictive Analysis of Data Science Jobs

(2020, PURE) Diagnosing COVID-19 Using CT-Scan Images

(2020, PURE) Predicting Average Player Rating Premier League

(2020, PURE) Predicting UFC Bouts

(2020, PURE) Using Descriptive and Predictive Analytics to Reduce Illegal Border Crossings in the United States

(2020, PURE) Predicting Preference of Craft Beer Styles

(2020, PURE) Reasons Why People Share Online Content

(2020, PURE) Developing an Interpretable Machine Learning Model in Insurance

(2020, PURE) Examining Statistical and Machine Learning Techniques to Predict the Stock Market

(2020, PURE) A Predictive Approach to Understand How to Get a Promotion

Springer Nature – Book Series: Transactions on Computational Science & Computational Intelligence / The 16th International Conference on Data Science (ICDATA'20) (Las Vegas, NV)
(2020, TCSCI) A Holistic Approach for Determining Effective Promotional Product Groupings [Book Chapter]

(2020, TCSCI) Enhancing User Experience by Integrating Real-Time Search Data with Historical Data to Personalize Recommendations for a Timeshare Exchange Company [Book Chapter]

(2020, TCSCI) Dynamic Pricing for Sports Tickets [Book Chapter]

(2020, TCSCI) Improving Physician Decision-Making and Patient Outcomes Using Analytics: A Case Study with the World's Leading Knee Replacement Surgeon [Book Chapter]

(2020, TCSCI) Leveraging Insights from "Buy-Online Pickup-in-Store" data to Improve On-Shelf Availability [Book Chapter]

(2020, TCSCI) Improving Model Accuracy with Probability Scoring Machine Learning Models

Journal of Purdue Undergraduate Research
(2020, JPUR) Out of the Box: A Dynamic Pricing Model for Professional Sports Teams

2020 Virtual Purdue Undergraduate Research Conference (West Lafayette, IN)
(2020, PURC) A Dynamic Pricing Model for Professional Sports Teams [Audience Favorite Award] *2nd Place

(2020, PURC) A Case Study of the Python Django Framework to Help Recruiters Identify Analytics Talent [App] *3rd Place

(2020, PURC) Text Mining and Predictive Model: Our Arsenal Against the COVID-19 Pandemic

useR! 2020 Conference (St. Louis, MO)
(2020, useR) Novel Application of Bootstrap for New Store Sales Forecasting

(2020, useR) Dynamic Pricing For Sports Event Tickets

(2020, useR) A Case Study on Measuring Promotional Effectiveness in Home Décor and Their Impact on Customer Loyalty

(2020, useR) Predicting Stock Outs for Buy-Online Pickup-in-Store Orders

(2020, useR) New Product Performance Prediction in Fashion Retailing

2020 INFORMS Business Analytics Conference (Denver, CO)
(2020, INFORMS BA) Enhancing User Experience by Integrating Realtime Search Data with Historical Data to Personalize Recommendations for a Timeshare Exchange Company

(2020, INFORMS BA) A Geospatial Competitive Intrusion and Market Expansion Solution for Large Chain Retailers

(2020, INFORMS BA) Novel Application of Bootstrap for New Store Sales Forecasting

(2020, INFORMS BA) Improving Physician Decision-Making & Patient Outcomes Using Analytics: A Case Study with The World’s Leading Knee Replacement Surgeon

(2020, INFORMS BA) Enhanced CRM System to Predict Customer Buying Patterns for Improved Sales Decision Support

(2020, INFORMS BA) How a Large CPG Company Estimates Profitability of its Products on Amazon Platform

(2020, INFORMS BA) A Holistic Analytics Approach for Determining Effective Promotional Product Groupings

(2020, INFORMS BA) A Time-To-Event Predictive Model to Identify, Understand, and Strategically Retain Policyholders

(2020, INFORMS BA) A Case Study on Measuring Promotional Effectiveness in Home Décor and Their Impact on Customer Loyalty

(2020, INFORMS BA) A Novel Application of Optical Character Recognition for Product Image Compliance

(2020, INFORMS BA) Predicting Stock Outs for Buy-Online Pickup-in-Store Orders

(2020, INFORMS BA) Predicting Appointment Conversion with Probability Scoring ML Models

(2020, INFORMS BA) DataButler: A Python-Based Tool for Automatic Data Profiling and Cataloging

(2020, INFORMS BA) Data Utilization of Digital Directory Kiosk to Enhance Customers’ Experiences in American Shopping Malls

(2020, INFORMS BA) New Product Performance Prediction in Fashion Retailing

(2020, INFORMS BA) High Performance Computing in Business: A Case Study Collaboration Among A National Retailer and A University

2020 Southern Data Science Conference (Atlanta, GA)
(2020, SDSC) A Time-To-Event Predictive Model to Identify, Understand, and Strategically Retain Policyholders

2020 Open Data Science Conference (ODSC-East) (Boston, MA)
(2020, ODSC) Enhancing User Experience by Integrating Realtime Search Data with Historical Data to Personalize Recommendations for a Timeshare Exchange Company

(2020, ODSC) A Case Study on Measuring Promotional Effectiveness in Home Décor and Their Impact on Customer Loyalty

UofSC 2020 Big Data Health Science Conference (Columbia, SC)
(2020, BDHSC) Improving Physician Decision-Making & Patient Outcomes Using Analytics: A Case Study with The World’s Leading Knee Replacement Surgeon

2020 KPDC/Krenicki Business Analytics Career Expo (West Lafayette, IN)
(2020, BA Expo) Enhancing User Experience by Integrating Realtime Search Data with Historical Data to Personalize Recommendations for a Timeshare Exchange Company *1st Place

(2020, BA Expo) A Novel Application of Optical Character Recognition for Product Image Compliance *2nd Place

(2020, BA Expo) Predicting Stock Outs for Buy-Online Pickup-in-Store Orders *3rd Place

2020 Other Projects
Indiana Poison Center - Oral Diabetes Medication [Dashboard]

2019
2019 Purdue Fall Undergraduate Research Expo (West Lafayette, IN)
(2019, PFURE) A Business Analytics Approach to Identify and Grow Customer Loyalty

(2019, PFURE) A Predictive Analytics Approach to Estimate Home Loan Risk and Allocate Loans

(2019, PFURE) Predicting Season Ticket Renewals for a Professional Sports Team

(2019, PFURE) A Market Basket Analysis Product Recommendation System for Online Retailers

(2019, PFURE) An Anomaly Detection Model to Identify Changes in Student Classroom Performance

(2019, PFURE) Using Predictive Analytics to Find Forever Homes for Sheltered Pets

(2019, PFURE) Learning Predictive Analytics From The NFL Big Data Bowl

(2019, PFURE) Professional Golf Analytics: Predicting & Improving Player Performance

(2019, PFURE) Identifying Drivers of Student Success Using Predictive Analytics

(2019, PFURE) Improving Liquor Sales through Uplift Modeling

(2019, PFURE) Predicting Energy Usage to Better Estimate and Market Efficiency Upgrades to Customers

(2019, PFURE) Hockey Analytics: The Science of Lineup Selection

(2019, PFURE) Determinants of Successful and Unsuccessful Movies Based on Worldwide Box Office Revenue

2019 Midwest Decision Sciences Institute Conference (Butler University)

(2019, MWDSI) Data Wrangling to Data Science: A Dynamic Pricing Model for the Vacation Rental Industry *Best Paper Award

(2019, MWDSI) Supervised Learning Approach for Improving Data Quality in Sports

2019 SAS Global Forum - Student Symposium Competition (Dallas, TX)

(2019, SAS) Google Store Revenue Probability Prediction *Top 8 Selection

2019 INFORMS Business Analytics Conference (Austin, TX)

(2019, INFORMS BA) Pay Now, Gain Later: Analyzing the Effects of Higher Pay Scales in Business *1st Place

(2019, INFORMS BA) Data Wrangling and Data Science in Revenue Management: A Dynamic Pricing Model *3rd Place

(2019, INFORMS BA) IoT in the Insurance Industry: Using Telematics Data to Strategically Manage Risks and Price

(2019, INFORMS BA) An Unsupervised Approach To Understand Customer Journeys

(2019, INFORMS BA) A Framework to Define, Predict and Evaluate Slow-Moving Grocery Items

(2019, INFORMS BA) A Sequence Analysis Approach to Improve New Product Forecasts

(2019, INFORMS BA) Holiday Forecasting: A Machine Learning Approach to Forecast Shipment Volume

(2019, INFORMS BA) Predictive Analytics Approach to Understand, Predict and Reduce Distribution Center Stockouts

(2019, INFORMS BA) An Innovative Prototype to Create Real-Time Commodity Product Market Intelligence

(2019, INFORMS BA) Matching IP Buyers with Sellers: An Intellectual Property Recommendation System

(2019, INFORMS BA) AGRO: An AGri-business Recommendation Optimization Engine for Sales Growth

(2019, INFORMS BA) Improving Sales and Marketing Effectiveness Using Clustering and Market Basket Analysis

(2019, INFORMS BA) Using Conditional Random Fields to Forecast Product Promotions

(2019, INFORMS BA) Semantic Structure Identification Using Image Detection Algorithms

(2019, INFORMS BA) Flexible Named Entity Recognition for Date-related Entities in Financial Docs

(2019, INFORMS BA) Computing Cluster Usage and Cost Optimization

(2019, INFORMS BA) Deploying Data Pipelines Using Kubernetes on Azure

(2019, INFORMS BA) Segmentation and Forecasting for Premier E-Tailer

(2019, INFORMS BA) Reducing Receipt Mismatch Costs Using Categorical Variable Imputation

2019 Purdue Undergraduate Research Conference (West Lafayette, IN)

(2019) A Predictive to Prescriptive Analytics Approach for the League of Legends Team Selection Problem *1st Place

2019 KPDC Business Analytics Career Expo (West Lafayette, IN)

(2019, BA Expo) Developing a Competitor Index for Market Share Prediction in Retail *1st Place

(2019, BA Expo) Pricex - An Intelligent Pricing Decision Support Tool

2019 Purdue Engagement and Service-Learning Summit (West Lafayette, IN)

(2019) Saving Lives with Effective Data Visualization: Evaluating the Effectiveness of Indiana’s Driver Ed Curriculum

2019 Southeast Decision Sciences Institute Conference (Savannah, GA)

(2019, SEDSI) Balanced K-Means Algorithm with Equitable Distribution of Power Ratings *Best Paper Award

2018
2018 Dawn or Doom Conference (West Lafayette, IN)

(2018, DoD) Tennis Analytics Using Machine Learning to Improve Performance of Emerging Players *People's Choice Award

(2018, DoD) Departure Delay Prediction for Flights [App] *3rd Place

(2018, DoD) Demand Shaping: Promo Planning Using Machine Learning

(2018, DoD) BirchR: An R Package for Birch Clustering

(2018, DoD) Balanced K-Means Algorithm with Equitable Power Ratings

(2018, DoD) A Competitive Approach for Online Price Prediction

(2018, DoD) Credit Card and Fraud Detection Using Supervised Learning Algorithms

(2018, DoD) Churn Prediction for a Music Service Company

(2018, DoD) A Product Reccomendation System Prototype

(2018, DoD) Human Resource Turnover Prediction

13th INFORMS Workshop on Data Mining and Decision Analytics (Phoenix, AZ)

(2018, INFORMS DMDA) Exploring Student Matriculation and Admissions Melt in Graduate Business Programs

2018 Midwest Decision Sciences Institute Conference (Indianapolis, IN)

(2018, MWDSI) Risky Business: Predicting Cancellations in Imbalanced Multi-Classification Settings *Best Paper Award

(2018, MWDSI) Optimal Clustering of Products for Regression-Type and Classification-Type Predictive Modeling for Assortment Planning

(2018, MWDSI) Effect of Forecast Accuracy on Inventory Optimization Model

(2018, MWDSI) Future LPG Shipments Forecasting Based on Empty LPG Vessels Data

(2018, MWDSI) A Comparative Study of Machine Learning Frameworks for Demand Forecasting

(2018, MWDSI) Forecasting Intermittent Demand Patterns with Time Series and Machine Learning Methodologies

(2018, MWDSI) A Solution to Forecast Demand Using LSTM Recurrent Neural Networks for Time Series Forecasting

(2018, MWDSI) Carrier Choice Optimization with Tier Based Rebate for a National Retailer

(2018, MWDSI) A Proposed Data Analytics Workflow and Example Using the R Caret Package

(2018, MWDSI) XGBoost - A Competitive Approach for Online Price Prediction

(2018, MWDSI) Role of Political Identity in Friendship Networks

(2018, MWDSI) Recruitment Analytics: An Investigation of Program Awareness & Matriculation

2018 INFORMS Business Analytics Conference (Baltimore, MD)

(2018, INFORMS BA) Risky Business: Predicting Cancellations in Imbalanced Multi-Classification Settings

(2018, INFORMS BA) Clustering and Prediction Problem Framing for Sparse Demand Products

(2018, INFORMS BA) Effect of Forecast Accuracy on Inventory Optimization Model

(2018, INFORMS BA) Future LPG Shipments Forecasting Based on Empty LPG Vessels Data

(2018, INFORMS BA) A Comparative Study of Machine Learning Frameworks for Demand Forecasting

(2018, INFORMS BA) Forecasting Intermittent Demand Patterns with Time Series and Machine Learning...

(2018, INFORMS BA) A Solution to Forecast Demand Using LSTM Recurrent Neural Networks for Time Series...

(2018, INFORMS BA) An Optimization Approach for Assortment Planning

(2018, INFORMS BA) A Retrospective Investigation of Test & Learn Business Experiments & Lift Analysis

(2018, INFORMS BA) Carrier Choice Optimization with Tier Based Rebate for a National Retailer

(2018, INFORMS BA) An Analytical Approach for Understanding Promotion Effects on Demand and Improving Profits

(2018, INFORMS BA) A Machine Learning Approach to Delivery Time Estimation for Industrial Equiptment

2018 Other Projects

(2018) Analytical Evidence to Justify Legislative Changes in State Government Polices

(2018, MIT Sloan submit) A Comparison of Clustering Approaches for Automating NCAA DIII Wrestling Regional Tournament Assignments

(2018) A Stochastic and Machine Learning Approach to Reduce Customer Bounce Rate

2018 Purdue Undergraduate Research Conference (West Lafayette, IN)

(2018, PURC) Upgrade with Uplift: Gaining More Accurate Predictive Models with Uplift Modeling *1st Place

(2018, PURC) A Predictive Approach to Help Online Discussions Become More Productive and Respectful *3rd Place

(2018, PURC) Where’s Fido? Using Machine Learning to Classify Images of Dogs

(2018, PURC) Does Your Analytics Masters Degree Fit the Bill? Predicting Placement Rate and Starting Salary

(2018, PURC) XGBoost - A Competitive Approach for Online Price Prediction

(2018, PURC) To Stock or Not to Stock: Forecasting Demand in Grocery Stores

(2018, PURC) Caret Versus Scikit-learn: A Comparison of Data Science Tools for Predictive Modeling

(2018, PURC) What is Your Home Worth? Predicting Housing Prices Using Regularization and Meta-Modeling

(2018, PURC) Estimating Product Substitution for Grocery Items

(2018, PURC) Marketing Analytics And Recruitment Practices

(2018, PURC) An Investigation of Feature Engineering Approaches and Strategies

2017
2017 INFORMS Business Analytics Conference (Las Vegas, NV)

(2017, INFORMS BA) An Investigation of Posterior Probabilities in Unbalanced Binary Classification Settings

(2017, INFORMS BA) Predicting Shoppers Loyalty Through Transaction Behavior [paper]

(2017, INFORMS BA) A Workforce Management Turnover Model for Retail Human Resources [paper]

(2017, INFORMS BA) A Predictive & Prescriptive Analytics Solution to Home Improvement [DSS Shiny link]

(2017, INFORMS BA) Predicting Blood Donations Using Classification Techniques [paper]

2017 Midwest Decision Sciences Institute Conference (Grand Rapids, MI)

(2017, MWDSI) An Analytics Solution for Retail Employee Turnover Workforce Management [slides]

(2017, MWDSI) Predicting Blood Donations Using Classification Techniques [slides]

2017 Other Projects

(2017, PU BIAC Meeting) Krannert IBM Watson Personality Insights Prototype

(2017, INFORMS O.R. & Analytics Student Team Comp) An Analytics Solution to Identify Elite Soybean Varities

(2017, SAS Global Forum Student Symposium Comp) The Power of SAS Enterprise Miner for Textual Internal Auditing