UPSL Mid-Atlantic Conference Operations System

July 2025 – Present

Production operations and payment platform supporting approximately 50 teams in the UPSL Mid-Atlantic Conference. I designed and built the system to centralize scheduling, payments, travel information, and game-change approvals, replacing processes previously spread across spreadsheets, text messages, and multiple payment methods. The platform has processed more than $200,000 in fees and remains in active production use.

Demand Forecasting Analytics Practicum — The Home Depot & Georgia Tech

May 2026 – Aug 2026

Industry-sponsored analytics practicum focused on demand forecasting for retail workforce planning. I contributed to a hybrid forecasting system combining XGBoost and SARIMAX, with a particular focus on time-series modeling in Python. The project included feature engineering, rolling historical backtests, model evaluation, validation, forecast allocation, and business-facing visualization.

Fentanyl: A Study into Overdose Deaths

January 2024 – May 2024

Undergraduate data science capstone examining patterns in fentanyl overdose mortality using CDC data. The project used machine-learning and statistical techniques to identify populations at elevated risk and evaluate demographic and socioeconomic relationships in overdose mortality.

Crime and Place: A Spatial Analysis of Crime

August 2023 – December 2023

Spatial analytics project combining Charlotte-Mecklenburg Police Department and U.S. Census data to examine relationships between reported crime and nearby points of interest. The project incorporated ArcGIS Pro, geocoding, and multiple classification approaches including gradient boosting, logistic regression, decision trees, Naive Bayes, and random forests.