I build statistical models and analytical tools to evaluate driver performance, race strategy, and competitive dynamics in Formula 1 and IndyCar. My work combines predictive modeling, visualization, and domain expertise to turn motorsport data into actionable insight.
Applied Statistical Modeling for Motorsport Performance
Strategy simulation, predictive modeling, and performance analytics across open-wheel racing.
Data-Driven Motorsport Performance Analysis
Predictive Modeling
Regression, regularization (LASSO), GAMs, cross-validation, and performance forecasting applied to race outcomes and driver metrics.
Performance Analytics
Lap time modeling, stint degradation analysis, pit strategy simulation, and comparative driver evaluation.
Visualization & Dashboards
Interactive dashboards (160+ projects), exploratory analysis, and storytelling through data using Tableau, R, and Excel.