Experience
A timeline of roles where data met decision-making.
Building a tennis analytics platform that transforms SwingVision match data into actionable performance insights for amateur players.
Key Contributions
- —Founded and developed a full-stack analytics platform using Next.js, Python serverless functions, and Supabase
- —Designed data pipelines that parse SwingVision CSV exports and apply statistical analysis to identify serve patterns and performance trends
- —Built interactive dashboards that process 50,000+ shot data points per session, surfacing actionable insights on shot selection and consistency
- —Created algorithms to detect fatigue-related performance degradation across sets and normalize data across court surfaces
Technologies
Next.jsPythonSupabaseTypeScriptFigma
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