Thomas Germano

I’m a Sports Management graduate student at Columbia University focused on football analytics and decision-making. I previously worked as a product manager in tech, where I built data-driven tools and learned how to frame problems, communicate clearly, and support teams operating under real constraints.

I made a deliberate pivot toward football analytics because I care deeply about the work itself and the pursuit of winning as part of a team. I’m energized by process, learning, building, iterating, and finding small edges, and I was willing to trade comfort for that alignment. I’ve explored this path through the NFL Big Data Bowl, personal projects using public NFL data, and hands-on work with Columbia Football, where I support recruiting, film, and analytical reporting for coaches and staff.

My work emphasizes clarity, practicality, and helping teams make better decisions in pursuit of winning. I’m competitive by nature and most fulfilled when my work helps the team gain an edge.

💼 Work Experiences

Football Experience

Columbia University Football — Film Assistant / Front Office Support

• Support recruiting, film, and front-office operations, including multi-state scouting coverage and recruiting data coordination.
• Deliver scouting reports and analytical breakdowns of opposing defenses to support offensive game planning.
• Assist coaches and staff with data organization and reporting to inform weekly preparation.

Jon Poppe Football Camp — Volunteer

• Collected and analyzed player evaluation data to support daily coaching decisions.
• Assisted with on-field logistics and drill execution to maintain efficient, high-tempo practices.

Product & Analytics Experience

Haven Technologies — Product Manager, Underwriting Solutions

• Led development of data-driven SaaS products integrating SQL, Python, and machine learning to improve underwriting decision-making.
• Conducted market and competitor research to identify opportunities for scalable, configurable analytics tools.
• Coordinated cross-functional teams to deliver analytical solutions under real operational constraints.

United Parcel Service — Operations, Analytics & Engineering Roles

• Built forecasting and automation tools supporting large-scale logistics operations, delivering measurable cost savings.
• Used SQL, APIs, and data analysis to diagnose system issues and improve operational decision-making.