About Me
I am a masters student in the data science program at Drexel University, where I focus on analyzing
datasets to extract actionable insights and building explainable machine learning models. Prior to
Drexel, I earned a B.S. in Computer Science from Lehigh University in 2024.
I am motivated to write high-quality, reliable code that supports data-driven decision-making.
My work emphasizes model interpretability through detailed data analysis to understand the trends
that machine learning models leverage in their predictions. I primarily use the PyData Stack (NumPy,
Pandas, SciPy, Plotly, Scikit-Learn), with additional experience in R, SQL, and Power BI.
I am particularly interested in applying data science to sports analytics, and I enjoy working on projects where data can directly inform real-world outcomes.
On this site, you'll find a selection of projects demonstrating my work in predictive modeling, data visualization, and statistical analysis.
