I help revenue teams achieve their goals through low-friction systems and tools everyone actually understands.
My approach to RevOps is consistent regardless of company stage: build systems that are low-friction, well-understood, and easy for everyone to use. The best RevOps work is invisible. Sales doesn't notice it because it just works. Leadership doesn't ask about it because the data is already in front of them.
Outside of work I shoot film, follow the NBA too closely, and spend too much money on golf. I write the occasional analytics project when I want to think about something that isn't pipeline coverage.
A baseline-driven model for evaluating NFL draft outcomes, separating the picks who exceeded expectation from the ones who simply met it.
How a bloated, unreliable pipeline became a forecasting baseline leadership could trust - and what it actually took to get there.
A routing engine built with Claude that clusters accounts geographically, optimizes visit order, and generates structured trip plans for sales reps.
A factor model for identifying mispriced lines across the entire college basketball season, inspired by Fama-French equity research.