Kevin Kpakpo is a data scientist with 9 years’ experience turning complex datasets into actionable intelligence across healthcare, agribusiness, oil & gas, e-commerce and public institutions. Trained at École Centrale Paris with an EPFL exchange, he blends strong mathematical foundations with hands-on machine learning and process-mining expertise to deliver production-ready solutions at firms like Descartes Underwriting, KPMG and Vallourec. He has a track record of driving measurable impact—detecting €1M in duplicate invoices, contributing to a €10M turnover uplift via process optimization, and doubling performance of building-risk detection used by Paris City Hall. Comfortable from prototyping to deployment, he authors open-source tooling and published a Python library from his municipal building-safety project, and maintains active GitHub portfolios. He combines consultancy-grade stakeholder communication (C-level presentations and rollout leadership) with mentoring experience, making him effective at translating technical models into operational change. Currently focused on high-impact ML roles in consulting, hedge funds or startups, he seeks opportunities to apply rigorous applied math to strategic business problems.
9 years of coding experience
4 years of employment as a software developer
M Sc. Applied Mathematics, Data Science major, M Sc. Applied Mathematics, Data Science major at Ecole Centrale Paris
Exchange Postgraduate Student in Master’s degree in Applied Mathematics to Multivariate Statistics, Applied Mathematics to Multivariate Statistics, Exchange Postgraduate Student in Master’s degree in Applied Mathematics to Multivariate Statistics, Applied Mathematics to Multivariate Statistics at Ecole polytechnique fédérale de Lausanne
Classes Préparatoires aux concours des Grandes Ecoles, MPSI/MP*, Classes Préparatoires aux concours des Grandes Ecoles, MPSI/MP* at Lycée Louis-le-Grand
Contributions:3 releases, 11 PRs, 19 pushes in 1 month
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