Strength & Conditioning Coach and baseball performance analyst, building EP-TSP — a biomechanics and Statcast analytics framework.
Re-tested the portfolio's own core thesis against the original datasets of three prior projects. Hitting broke the pattern — bat speed beats the "smarter" metric, and the repo documents exactly why.
Hitters' swing timing defaults to fastball speed — early-swing rate jumps up to 45x against off-speed pitches, league-wide.
First-step reaction and burst predict outfield range nearly twice as well as top-end sprint speed does.
Velocity returns to 99–102% of pre-surgery levels after Tommy John. Arm slot usually doesn't come back the same.
Arm angle alone doesn't separate 165 pitchers by Tommy John history. A negative result, published because it's true.
Public data only.
Every project runs on Baseball Savant / Statcast exports anyone can download — no proprietary feeds, nothing that can't be checked.
Negative results get published, not buried.
If a metric doesn't predict what it's supposed to, that's the headline — see the elbow-injury and swing-plane repos.
Corrections happen in the open.
A coefficient-scaling bug in an early hitting model was caught, fixed, and documented — then the fix was re-verified across every repo that had cited the old number.
Every repo is reproducible.
Data, scripts, and a one-command way to regenerate every chart — bilingual, in English and Spanish.
I've spent 15+ years as a Strength & Conditioning Coach across MLB affiliate academies (Pittsburgh Pirates DR Academy), LMB (Acereros de Monclova), and LVBP (Cardenales de Lara). That background is the reason EP-TSP exists: most public baseball analytics stops at the statistic, and most performance coaching stops at the movement. I build the bridge between them.
I'm a SABR member and a participant in the 2026 MLB Pipeline Player Development & Analytics Cohort, currently based in South Florida.