My Projects

A collection of tools and pipelines focused on reliable data flows, transforming messy inputs into structured datasets, and exploring the hidden dynamics of football through analytics.

Currently working on

Football Video Recognition Pipeline

An offline football video analysis project focused on detecting players and the ball from match footage to generate structured inputs for downstream match analysis.

Python YOLO OpenCV Streamlit

Post-Game Match Analysis App

A football analytics app built for post-match review, combining team and player metrics, pitch-sector analysis, and visual match insights to support coaching-style evaluation.

Python Streamlit StatsBomb Visualizations

Player Scouting App

A football scouting tool focused on structured player profiles, metric comparison, and visual analysis to support recruitment-style evaluation.

Python Streamlit StatsBomb Plotly

Expected Threat Explorer

A football analytics app focused on progression and action value, showing how teams and players generate threat across zones, corridors, and phases of play.

Python Streamlit Plotly

MatchData Hub

A football data platform built to ingest, standardize, and expose multi-source football data through a unified model and API layer for analytics and downstream applications.

FastAPI MongoDB Docker Python