Sports Projects

Offense vs Defense: Measuring Predictors of Winning in NCAA Basketball

Co-authored published sports analytics research on predictors of winning in NCAA Division I men’s basketball using 2013–2021 team data
Analyzed 3,155 team-season observations across 355 teams and 32 conferences using linear, multiple, and logistic regression in R
Evaluated 15 offensive and defensive performance metrics to determine which best predicted winning percentage, games won, and championship outcomes
Found that offensive efficiency was the strongest overall predictor of team success, with offensive metrics generally outperforming defensive metrics in forecasting wins
Built stepwise regression models showing that a largely offense-driven subset of variables explained about 81% of variation in games won
Identified that both offense and defense matter for championships, though offensive metrics showed slightly greater influence on title success

Resume & Interview Prep Workshop

Detroit Pistons

Detroit, MI

Participated in a professional development event for aspiring sports industry candidates
Gained insights from hiring team members on resume optimization, interview strategy, and how to stand out in competitive sports roles
Networked with Pistons employees and peers to build connections and learn about career paths in sports business and analytics
Strengthened ability to communicate experience effectively through targeted resume and interview techniques
Attended live Detroit Pistons vs Orlando Magic NBA Cup game

Early Career Workshop

Detroit Pistons

Detroit, MI

Attended early career workshop focused on pathways into sports industry roles
Learned about Pistons Internship and Rotational Programs, including qualifications and recruiting timelines for entry-level positions
Received career guidance from HR leadership, including resume strategies, interview preparation, and positioning for assistant and coordinator roles
Gained insight into early career opportunities within an NBA organization and expectations for candidates entering the sports business field
Networked with attendees and professionals to build connections and better understand hiring processes within professional sports organizations

Midwest Sports Analytics Meeting

Central College

Virtual

Presented "Offense vs Defense: Measuring Predictors of Winning in NCAA Basketball"
Engaged in discussions on diverse analytics applications across sports, including modeling, data visualization, and performance analysis

MAA MathFest

Mathematical Association of America (MAA)

Tampa, FL

Presented "Offense vs Defense: Measuring Predictors of Winning in NCAA Basketball" in the "Moving Toward Data Science in Statistics and Sports" session
Engaged with researchers and professionals in mathematics and data science to discuss applications of analytics in sports and beyond

MIT Sloan Sports Analytics Conference (SSAC) Selected Mentee

MIT Sloan School of Management

Boston, MA

Attended an annual conference bringing together industry executives, researchers, and students to explore the growing role of analytics in the sports industry
Selected from 100+ applicants for a competitive mentorship program supporting underrepresented students pursuing careers in sports analytics