Iโm a mathematician and former athlete ๐ turned Data Scientist ๐ ๐งช @ Zelus Analytics specializing in Basketball and Hockey R&D.
For years, Iโve 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.
Currently, Iโm researching and working in sports quantitative analysis (and pursuing a PhD ๐ฉ๐ช).
Iโm 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.