Projects.
Selected work in data engineering, analytics, design systems, and machine learning — built to solve real problems.
Noise-Aware Self-Distillation with Confidence
Noise-aware self-distillation research comparing three approaches for robust image classification on noisy labels. Self-Distill method achieves 54.1% validation accuracy on CIFAR-10N with 40% label noise, outperforming baseline and co-teaching methods.
Core Entertainment Data Pipeline & Warehouse
Built a pipeline that pulled ticketing, marketing, and financial data out of their silos and into one clean, reliable database. For the first time, Core had a single source of truth for revenue, customer behavior, and campaign performance.
NBA Attendance Analysis: Key Drivers & Revenue Optimization
A data-driven analysis identifying the primary drivers of NBA game attendance and quantifying revenue optimization opportunities. Analyzed 20 years of NBA attendance data (2004–2023) using statistical hypothesis testing and predictive modeling.
NBA Data Analysis
Comprehensive analysis of NBA game data to uncover patterns and insights. Explored game-level statistics, team performance metrics, and player data to identify key trends and relationships across seasons.
Infectious Diseases Data Analysis
Comprehensive data analysis for Infectious Disease Professionals LLC, providing detailed insights on five common infectious diseases: LaCrosse Disease, Lyme Disease, RSV, Tuberculosis, and Hepatitis C. Spans data cleaning to advanced visualizations.
Technologies & Tools