Analysis of a 30-athlete synthetic dataset demonstrating data validation, comparison, visualization, and evidence-based reporting.
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Updated
Sep 14, 2026 - Python
Analysis of a 30-athlete synthetic dataset demonstrating data validation, comparison, visualization, and evidence-based reporting.
This project analyzes athletes performance trends in the Paris Olympics, focusing on factors such as age, country performance, medal standings, and height correlations. It uses RStudio and Power BI for data exploration and visualization. The goal is to identify key patterns and insights that contribute to athletic success at the Paris Olympics.
R script for athlete-level Force–Velocity profiling from ForceDecks exports. Implements Samozino’s method, dynamic slope optimization, and athlete-specific feedback. Includes regression plots, FVI classification, and batch analysis across multiple athletes.
Infinite Athlete — independent third-party profile of a public API surface, by API Evangelist. Infinite Athlete is a sports technology company that brings together leading companies in performance biomechanics and real-time video to deliver data-driven, actionable insights for elite athlete evaluation, development, health, and safety.
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