Jean-eudes Peloye is a Staff Data Engineer based in Paris with 11 years of experience building production data platforms, ML pipelines and analytics solutions across advertising, e‑commerce and consumer goods. He progressed through hands‑on roles at ManoMano and startups into senior data engineering leadership at leboncoin, delivering scoring systems, CLV and conversion models, automated vector training pipelines and end‑to‑end orchestration. Comfortable across Python, Airflow, BigQuery and computer vision stacks, he blends backend engineering and data science—having even implemented content‑aware image cropping using saliency and face detection. His background in École Polytechnique and HEC Paris underpins a mix of rigorous technical depth and business-focused product thinking, with a track record of turning research prototypes into reliable operational services.
10 years of coding experience
5 years of employment as a software developer
Classe préparatoire - EC/E, Classe préparatoire - EC/E at Ipesup
Charles III University of Madrid (Universidad Carlos III de Madrid)
Classe préparatoire - Khâgne B/L, Classe préparatoire - Khâgne B/L at Collège Stanislas Paris
Master in Management Grande Ecole, Master in Management Grande Ecole at HEC Paris
MSc Data Science for Business, MSc Data Science for Business at École Polytechnique
Contributions:10 PRs, 44 pushes, 12 branches in 6 years 10 months
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