I'm a fourth-year Computer Science student at Northeastern University with an AI concentration and Public Health minor. As a John Martinson Honors student, I'm driven to apply machine learning and data science to solve complex, real-world problems.

Current research: I'm working on two award-winning projects: (1) Sports Analytics — built an XGBoost model predicting NCAA pitcher draft likelihood with 91.9% accuracy (PEAK Summit Award); (2) Public Health ML — designed a Graph Neural Network to predict neighborhood-level influenza outbreaks in Boston using mobility and surveillance data, targeting the American Journal of Epidemiology (PEAK Trail Blazer Award). I also conduct research on nanotechnology discourse analysis (10,000+ documents processed with Python automation).

Teaching & Experience: Teaching Assistant for Machine Learning & Data Mining 1 (90+ students). At State Street, I developed Python applications integrating LLMs and RAG for enterprise automation (25% documentation improvement).

Skills: Python, SQL, R, machine learning (scikit-learn, PyTorch), data analysis, and full-stack development. I'm passionate about sports analytics, computational biology, and building tools that scale.

Let's connect if you're interested in collaborating on ML/data science projects or want to discuss research opportunities!