First-year student at Northeastern University studying Data Science & Business Administration (Class of 2029). I'm interested in using data to solve real business problems — across finance, marketing, and analytics.
Languages: Python
Libraries: pandas, NumPy, matplotlib, seaborn, scikit-learn
Tools: Excel, Git, Google Workspace (Docs, Slides, Sheets, Colab)
- EPL Match Outcome Prediction — Predicting Premier League results (Win/Draw/Loss) using SPI gap, possession, draws, and home advantage
- Retail Customer Segmentation — RFM analysis and K-Means clustering (K=5) on retail transaction data; Flask API serving segmentation model
- DS2500 — Intermediate Programming with Data — Python, OOP, statistics, KNN, linear & logistic regression
- CS2000 — Computing Fundamentals — Core CS concepts and computational thinking
- Intermediate Programming with Data · Accounting · Macroeconomics · Marketing | Northeastern
- Data Analytics Intern | McKinley Acquisition Corp (SPAC)
- Data Club · Finance & Investment Club · Dollars & Sense
- Building: SQL Certification, Python Portfolio Projects, Power BI Skills
- Working: Beacon Bank Summer Teller, Tutoring, Youth Soccer Coaching
Former varsity soccer captain · 2025 MIAA Division 1 Champion