As someone who grew up competing in national-level trivia competitions, research and fact-finding has always been at the center of my work. I complement that with a unique background, being adept in coding and visualization.

I look forward to taking on more data-based research projects in any role I take with a company in the future!

Check out my latest sports data science project:

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USOWN Scout

Developed USOWN Scout, a fully functional sabermetric database designed to track and evaluate the progression of American junior open-wheel motorsports prospects. Built to support analysis of driver performance, the platform features comprehensive driver profiles, qualifying and race data, and historical comparisons dating back to 2015, alongside text-based analysis outlining ideal development trajectories for emerging talent.

Responsible for the full lifecycle of the project, including data collection, database design, statistical modeling, and user interface development. The site integrates historical datasets with ongoing performance metrics to provide actionable insights for teams, media, and fans.

The platform received strong initial engagement, attracting over 800 unique viewers within the first 48 hours of launch. This project demonstrates the ability to combine data science, research, and digital media skills into a functional, user-facing product with measurable impact on the motorsports community.

Skills & Tools: SQL, Python, data visualization, database design, statistical analysis, web development, performance tracking