I’m a Data Science major and track & field athlete at Saint Anselm College with a strong interest in analytics and performance. My academic work focuses on applying programming and statistical methods to real-world problems, particularly in sports and data-driven decision making.

Being a student-athlete has shaped how I approach analytics. Training and competing at a high level requires discipline, consistency, and constant evaluation — the same mindset I bring to working with data. I’m especially interested in identifying patterns, building interpretable models, and understanding what actually drives performance rather than relying on surface-level results.

Through my projects, I’ve worked on predictive modeling, clustering, and data visualization using tools like R and Python. I enjoy turning complex datasets into insights that are both meaningful and easy to understand. I’m currently seeking opportunities where I can continue to develop these skills in a real-world environment, particularly within sports analytics or applied data science roles.