Jérémy Le Corguillé is a Data Scientist with eight years of experience building end-to-end data systems and decision tools for supply chain and operations, currently driving forecasting, optimization and data pipeline work at Oscaro in Paris. He combines hands-on Clojure development of Apache Beam/Google Cloud Dataflow pipelines with analytics and user-centered reporting to turn messy operational data into actionable strategy for buyers and purchasing teams. Trained as a telecommunications engineer with a business double degree and additional supply-chain coursework, he bridges rigorous technical architecture with organizational change and ergonomics. His work ranges from custom near-real-time optimization algorithms and routing engines to internal libraries that streamline data processing, reflecting a practical engineer-architect blend. Comfortable moving between code, models and stakeholder collaboration, he has a track record of turning complex logistics problems into user-friendly, productionized solutions. An often-overlooked strength is his orientation toward making tools that free people to focus on higher-value, strategic decision-making.
8 years of coding experience
Preparatory classes, Mathematics, Preparatory classes, Mathematics at Lycée Saint Louis
Exchange program, International project management in engineering, Exchange program, International project management in engineering at Copenhagen University College of Engineering
Master's degree, Business school (Double Degree Program), Master's degree, Business school (Double Degree Program) at Grenoble Ecole de Management
Master of Engineering (M.Eng.), Telecommunications Engineering, Master of Engineering (M.Eng.), Telecommunications Engineering at IMT Atlantique
Operations Management and Planning Program - Supply Chain Planification and Management module, Operations Management and Supervision, Operations Management and Planning Program - Supply Chain Planification and Management module, Operations Management and Supervision at ESSEC Business School
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