Nathan Berrebbi is an experienced professional in data science, machine learning, and engineering, with a strong background in academia and industry. Nathan served as a Teaching Assistant at UC Berkeley, leading discussion and lab sessions in physics. Nathan's role as a Web Developer at Elyotech involved integrating interactive help systems and configuring business intelligence tools. At Uber, Nathan advanced from an Applied Scientist to a Tech Lead Manager, contributing to the development of machine learning recommender systems for UberEats and leading initiatives for consumer shopping and growth. Nathan's experience as a Data Analyst at Vehicle Data Science involved developing algorithms for driver classification, and Nathan managed strategic accounts as an Industrial and Operations Engineer at SanDisk. Currently, Nathan holds the position of Engineering Manager for Machine Learning at Meta, focusing on enhancing recommendation systems for Instagram Reels. Nathan holds a Master of Engineering in Industrial Engineering and Operations Research from UC Berkeley and a degree in Computer Science/Operations Research from Telecom ParisTech.
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