Player Intelligence System: A comprehensive Machine Learning framework for online gaming, featuring modules for Anti-Cheat, Player Segmentation, Spending Prediction, Game Image Classification, and Account Security. Built with Python, XGBoost, and Vision Transformers.

Gaming analytics project for player engagement prediction, persona segmentation, and model-driven retention insights.

Unsupervised learning project that segments football players into distinct performance tiers using clustering techniques. The insights support objective player valuation, scouting decisions, and fantasy sports pricing strategies.