I'm a Data Analytics and Quantitative Economics student at Dickinson College, graduating May 2026. I enjoy turning messy data into clear insights and use it to tell stories.
- 🎓 B.S. in Data Analytics & Quantitative Economics @ Dickinson College (Dean’s List all semesters)
- 💼 Financial Systems & Data Intern @ Clark Associates - Summer of 2025
- 📊 Interested in: empirical finance, forecasting, optimization, military tech, sports, and AI.
- 🌱 Currently sharpening: machine learning in Python, cloud systems, AI engineering, Power BI, QLIK, and SQL.
- Languages: Python, SQL, R, Java, DAX
- Analytics & ML: pandas, scikit-learn, statsmodels, numpy, matplotlib/seaborn
- BI & Databases: Power BI, Qlik, Tableau, SQLite, Excel
- Tools: Git, GitHub, Jupyter Notebook, RStudio, Linux, MS 365
Reverse-engineered a cancer likelihood score using EDA, feature engineering, and regression models (OLS, Lasso, Random Forest) with cross-validation.
Highlights: data cleaning, feature engineering, model comparison (R², RMSE), and hyperparameter tuning with GridSearch.
Analyzed the relationship between height and earnings using R and Stata, running multiple regression specifications and visualizing results. Highlights: regression modeling, econometric reasoning, and clear visual storytelling with plots.
Built reports for Warranty Consolidation, Employee Headcount, and $7.5B Sales Detail using DAX measures and model design. Highlights: DAX measures (attachment rate, ratios), data modeling, KPI reporting for executive stakeholders.
📌 More projects coming soon – focusing on geospatial analysis, sports analytics, finance, ML and forecasting!
- Center back for Men’s Varsity Soccer @ Dickinson College
- Economics Tutor and Peer Advisor supporting students with coursework and academic planning
- Enjoy golfing, reading The Wall Street Journal, and self‑development books.