I’m a mathematician and former athlete 🏀 turned Data Scientist @ Zelus Analytics specializing in Basketball and Hockey R&D.
For years, I’ve been building and refining predictive models, applying Bayesian statistics, machine learning, time series analysis, and spatial modeling in a variety of projects, from public health initiatives to frame by frame models in sports.
I’m particularly interested in the intersection of computing and mathematics, exploring how descriptive and predictive modeling can drive insights in sports, physics, and biology.
Co-Founder and Organizer of ITAM Sports Analytics
Native R speaker but will do Python for food.
Zenyatta main.