Summary
Felipe Gonzalez is a Lead Data Scientist based in the New York City area with eight years of experience applying machine learning and analytics to drive revenue, efficiency, and social impact across startups, government, and academia. He has led high-performing analytics teams and product-focused experimentation programs, designing A/B and multi-armed bandit tests and building deep-learning systems for lead classification and CLTV-driven personalization. His background spans practical policy work—forecasting crime and recidivism with time-series and network models for a national justice ministry—to commercial analytics that improved digital ROI for clients. A Columbia-trained operations researcher with certificates from Harvard and Peking University, he combines rigorous quantitative methods with negotiation and finance insight to align analytics with business strategy. Notably, he has translated procurement and market processes into automated Python tooling, showing a habit of turning domain problems into production-ready data solutions.
8 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering (BEng), Chemical Engineering, Bachelor of Engineering (BEng), Chemical Engineering at Universidad Nacional de Colombia
Certificate, Negotiation and corporate conflict resolution, Certificate, Negotiation and corporate conflict resolution at Harvard University
Certificate, Big Data: Data Analytics for Business and beyond, Certificate, Big Data: Data Analytics for Business and beyond at Peking University
Master of Science - MS, Operations Research, 4.1/4.0, Master of Science - MS, Operations Research, 4.1/4.0 at Columbia University in the City of New York
English, Spanish