Etienne Windels is a Senior Data Scientist based in Bordeaux with nine years of experience blending software engineering and machine learning across fintech, quant research, consulting and 3D modeling. He has built production-grade ML systems—most recently creating daily embeddings for 200M products at Criteo—and worked on automated testing, CI/CD and language-agnostic program repair tools at Bloomberg. Comfortable with Python-driven NLP, statistical analysis and scalable engineering, he has a track record of turning messy, unstructured data into actionable features and knowledge graphs. Etienne pairs rigorous academic training from École Polytechnique and HEC Paris with hands-on delivery at fast-moving labs and enterprise teams. He thrives on technically challenging problems and has applied ML to diverse domains from test-failure localization to fraud detection and recommendation engines. An analytical generalist, he often surfaces non-obvious signals by combining NLP, metrics analysis and tooling to speed diagnosis and automation.
9 years of coding experience
6 years of employment as a software developer
Master of Science - MS Data Science, Master of Science - MS Data Science at École Polytechnique
Bachelor of Science (BS) Mathematics and Statistics, Bachelor of Science (BS) Mathematics and Statistics at Paris-Sud University (Paris XI)
Classe préparatoire ECS, Classe préparatoire ECS at Lycée Montaigne Bordeaux
Master in Management, Master in Management at HEC Paris
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