Quantifying the "Misery Loop" of mainstream gaming. An engineering approach to analyzing 24,000+ games using Python, uv, and the RAWG API to prove Sports gamers are trapped.

IMDbayes is a Data Science project that refuses to trust average ratings. By applying Bayesian Averages and 99th Percentile (p99) metrics to raw IMDb data, we separate the "Safe Bets" from the "Hidden Gems".

A high-fidelity, interactive process reaper for the Mojave wasteland. Hunt down resource-heavy processes ("Restless Souls") and bury them in an Onyx graveyard. Reclaim your system's memory with a Pip-Boy inspired interface and a heavy-metal aesthetic.

Wilson's Revenge 🐔 - A high-octane(!?), horizontal terminal runner built with Go. Dodge cars, blast through human enemies with a shotgun, and manage game-altering power-ups in a beautiful ASCII-art world. Fast, challenging, and built for the terminal.

Manage and kill high-CPU or memory processes with an interactive, Pip-Boy style tool for Windows, Linux, and macOS.

📊 Analyze IMDb genres to uncover "Masterpiece Gaps" and get tailored movie recommendations using Bayesian statistics and data science techniques.

🌱 Analyze gaming data to uncover the "Misery Index," revealing the hidden struggles of sports gamers and their time investment.