Summary
Xavier Gonzalez is a senior data scientist and industrial engineer with two decades of cross-sector experience spanning industry, academia and government projects. He combines deep expertise in decision making, optimization and agent-based modeling—evidenced by 20+ papers and leading a government-funded “Big Data in Robust Decision Making in Agriculture” research project—with hands-on delivery for clients in oil, finance, and public sectors. A Columbia MS in Data Science and ongoing PhD researcher at the University of Buenos Aires, he blends rigorous research with production work at companies like Royal Caribbean, Bloomberg Associates and Quark.ai. Formerly embedded at General Motors and IBM, he brings rare operational fluency across supply chain, marketing and strategic sales planning. An educator and fellowship awardee who has won innovation hackathon prizes, he is also an artistically minded technologist who explores music and visual expression through code.
10 years of coding experience
6 years of employment as a software developer
Master's degree Data Mining Business Inteligence & Knowledge Discovery, Master's degree Data Mining Business Inteligence & Knowledge Discovery at Universidad Austral, Buenos Aires
Ingeniero Industrial Engineering, Ingeniero Industrial Engineering at Facultad de Ingeniería UBA
Master’s Degree Data Science, Master’s Degree Data Science at Columbia University
Doctor of Philosophy - PhD Industrial Engineering, Doctor of Philosophy - PhD Industrial Engineering at University of Buenos Aires