Nicolas Gianoli

Nicolas Gianoli is a Machine Learning Engineer and Applied Scientist at Uber since March 2019, contributing to Uber AI and Uber Maps. Prior experience includes a role as a Machine Learning Engineer at Weight Watchers, focusing on predictive churn models and social engagement analysis. Nicolas has interned as a Data Scientist at S&P Global Market Intelligence, where a web scraping tool for database integrity was developed, and at L'Oréal, where new multivariate discretization algorithms were created to enhance machine learning models. Additional consulting roles through Columbia University include strategic operations positions at Louis Vuitton and R/GA. Educational qualifications include a Master of Science in Management Science & Engineering from Columbia University and a Master of Science in Data Science from École Polytechnique, along with a Bachelor's degree in Data Science from Télécom Paris.