Featured Projects
A showcase of my work in machine learning, software development, and data science
LoL Match Predictor
Full-stack machine learning system that predicts professional League of Legends match outcomes using XGBoost models. Features multi-stage predictions from draft phase through real-time gameplay with comprehensive data pipeline and modern web interface.
VRecover: VR Exposure Therapy Platform
Virtual reality application that enables therapists to create and customize exposure therapy scenarios for treating phobias. Built with Unity VR and networked using FishNet for multi-user therapeutic sessions with cloud infrastructure support.
Spotify Mood Analyzer
Data science web application that analyzes user's music listening patterns, extracts mood indicators using Spotify's audio features, and visualizes emotional trends over time.
Email SVM Sentiment Analysis
Machine learning system that classifies spam emails using Support Vector Machines and analyzes sentiment polarity. Implements GridSearchCV for parameter optimization and generates comprehensive visualizations including accuracy heatmaps and sentiment distribution graphs.
