“Turning questions into data, and data into impact.”
I’m a data enthusiast with a passion for turning complex questions into actionable insights. Whether it’s predictive modeling, experimental design, or building dashboards, I enjoy finding patterns in data and making them meaningful.
- Bachelor of Science in Mathematical Statistics (George Mason University, May 2027)
- Proficient in Python, R, SQL, SPSS, Tableau, Excel
- Experienced in A/B testing, experimental design, predictive modeling
- Currently learning advanced SQL techniques & Machine Learning
- Member of the American Statistical Association
1. Employee Distance Analysis
Automated calculation of closest office locations for remote employees using Python and Excel; generated reports summarizing distances by office, manager, and cost center.
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2. Weekly % & Outcomes Projection Dashboard
Built a dashboard to analyze weekly performance percentages and outcome completions, including trend projections using linear regression and visualizations in Python. This project helped visualize key trends and forecast future performance.
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3. NFL Weekly Prediction Bot (2025 Season)
Developed an NFL prediction engine in R using historical data, rolling feature engineering, injury reports, and XGBoost to predict weekly game outcomes.
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Python | R | SQL | Tableau | SPSS | Excel | Power BI