Summary
Felipe González is a seasoned data analyst and consultant in Mexico City with 14 years’ experience applying statistical modeling, machine learning and visualization to market research and product analytics. He combines industry roles—Sr. Quantitative Analyst at Google and analytics director in the private sector—with a long academic track record as a professor of probability, statistics and data science at ITAM, twice winning student teaching awards. His work spans survey design, forecasting and predictive modeling, informed by a PhD and MSc in Mathematics from Warwick and a BSc in Applied Mathematics from ITAM. Comfortable bridging rigorous theory and practical business problems, he often translates complex models into actionable insights for nontechnical stakeholders. An independent consultant since 2017, he blends research-grade methods with hands-on project delivery across commercial and academic environments.
14 years of coding experience
7 years of employment as a software developer
BSc, Applied Mathematics, BSc, Applied Mathematics at Instituto Tecnológico Autónomo de México / ITAM
PhD, Mathematics, PhD, Mathematics at Warwick University
Mathematics, Mathematics at University of North Texas
English