Data Science Portfolio
Selected data-science work demonstrating how I turn complex questions into reproducible analysis, models, software, and actionable insight. My main interest is applying these tools to sports strategy and performance, while remaining open to data-science problems in other fields.
SCIENTIFIC SOFTWARE · PYTHON
pyNamo-EGT
Plotting and equilibrium analysis for replicator dynamics in evolutionary games.
SPORTS ANALYTICS · TENNIS
Shelton–Alcaraz pre-match analysis (2026 US Open)
Point-by-point data and an exploratory game-theoretic model of serve and serve+1 tactics.