Summary
Antoine Grelety is a Data Scientist and ML Product Lead based in Paris with eight years of experience turning bank transaction data into product-ready intelligence. At PayLead he designs and ships transaction processing and enrichment pipelines, bridging statistical modeling with product requirements to embed ML features in production. His background spans forecasting and optimization projects at EY and analytics roles at Alstom, giving him strong domain grounding in supply chains, pricing and market analysis. Trained in economics and data science (Toulouse School of Economics, ENSEA/ENSAE), he combines rigorous statistical thinking with practical engineering in Python and R. Colleagues value his ability to translate complex models into tangible product value and to operationalize data workflows end-to-end. A less obvious strength is his economist’s instinct for causal interpretation, which helps him prioritize features that drive real business impact.
8 years of coding experience
3 years of employment as a software developer
Research Assistant in Economics, Research Assistant in Economics at Université Laval
Bachelor's degree, dual degree Mathematics and Economics, 2:1, Bachelor's degree, dual degree Mathematics and Economics, 2:1 at Toulouse School of Economics
Master's degree, Data Science, Statistical Learning, Master's degree, Data Science, Statistical Learning at Ensae ParisTech
Spanish, English, French