Project
A live NBA analytics dashboard that surfaces real-time player performance data, scoring trends, and automated insight alerts — built to demonstrate a full-stack sports data pipeline from raw API to interactive UI.
React-based frontend with server-side rendering and a clean component architecture for rendering live stat tables and chart visualizations.
Python backend exposing RESTful endpoints for player stats and trend data, with async request handling and automatic OpenAPI documentation.
Unofficial NBA statistics library providing access to the full range of player, team, and game data from the official NBA stats endpoint.
Live lookup of per-game averages, efficiency metrics, and season totals for any active NBA player — pulled directly from the NBA stats API on demand.
Visual breakdowns of scoring trajectories across a season, making it easy to spot hot streaks, slumps, and inflection points in a player's performance.
Automated surface-level analysis that flags notable statistical outliers — career highs, efficiency drops, or unusual usage patterns — without requiring manual interpretation.
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