Master of Science in Data Science
Regis University
Expected Graduation: Spring 2026
Nashville, TN
I’m currently pursuing a Master’s in Data Science, building on a foundation in Applied Mathematics and a commitment to competitive athletics. After graduating early to continue my collegiate lacrosse career, I moved into sports analytics, spending nearly 2 years at a startup focused on data-driven sports predictions. That experience sharpened my ability to tackle specialized, high-stakes problems and solidified my interest in connecting complex modeling with real organizational impact.
I am broadening my skills as a Business Strategy Intern with the Nashville Predators. In this role, I apply quantitative thinking to the professional sports industry, interpreting data to strategic insights for the NHL's top fan base. My technical skills include R, Python, and SQL. I’m continuing to grow by working through the “messy” side of data engineering to ensure analyses are both reliable and actionable.
My academic work closely mirrors my professional interests. I’m currently exploring ACL rehabilitation data to analyze recovery plateaus. My project reflects both my technical training and my perspective as a student-athlete. I aim to combine startup agility, professional sports strategy, and mathematical rigor to lead data-driven initiatives that reshape how organizations evaluate athlete potential and operational efficiency.
Programming Languages
Python, R, SQL
Tools & Frameworks
VS Code, Docker, R Studio, Jupyter
This project explores whether early-stage quadriceps strength can indicate rehabilitation plateaus after ACL reconstruction. Using longitudinal data from 18 athletes across 350+ rehab visits, we focused on the first 60 days post-op and defined plateau based on limb symmetry index (LSI) and stalled progression. A multivariate logistic regression incorporating early quadriceps torque (Nm/kg) and LSI improved in-sample discrimination (AUC 0.71) compared to LSI alone (AUC 0.59). Early absolute torque was the most influential predictor, suggesting that strength deficits, even in athletes who appear symmetrical, may signal risk for stagnation. These findings provide evidence that monitoring early quadriceps torque could help guide targeted interventions in ACL rehabilitation.
Feel free to reach out for collaboration opportunities, questions about my projects, or just to connect!
I'm always open to discussing new projects, creative ideas, or opportunities to be part of your vision.