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Cyprien BarthelCB

Cyprien Barthel

Lead Data Science & Data Analytics for Operations

800 €/jour
Paris, FR
3-7 ans

Délai de réponse moyen : 1h

À propos de Cyprien

As a Project Manager in Data Science and Data Analytics, I have 5
years of experience in delivering data and AI-powered solutions to
enhance operational efficiency (Supply Chain, Logistics, Distribution, Finance, HR)
I am passionate about applying mathematics and new technologies to drive business decisions.
  • Français

    Bilingue ou natif

  • Anglais

    Capacité professionnelle complète

Accepte de travailler sur site
Paris (jusqu’à 50 km), Lyon (jusqu’à 15 km)

Expériences

  • IRIS by Argon & Co
    PROJECT LEAD - DATA SCIENCE, DATA ANALYTICS
    CONSEIL & AUDIT
    avril 2024 - Aujourd'hui (2 ans et 2 mois)
    Bd Périphérique, Paris, France
    Roles: Project Manager and Data Product Owner, overseeing data
    specialists (Data Scientists, Analysts, Engineers, Analytics Engineers)


    Tasks: Identification, design, development, and deployment of data-driven use cases for Operations

    Domains: Supply Chain, Logistics, Manufacturing, Purchasing, Finance

    Impacts: (i) Cost reduction, (ii) decreased capital requirements (stocks),
    (iii) enhanced service levels, (iv) reduced environmental impact

    Technologies: Machine Learning, Optimization, Data Platforms, and
    Business Intelligence

    Key clients: Louis Vuitton, Renault, SNCF, Andros, Richemont, Servier
  • IRIS by Argon & Co
    SENIOR DATA SCIENTIST
    CONSEIL & AUDIT
    janvier 2020 - avril 2024 (4 ans et 3 mois)
    Paris, France
    Roles: Identification, design, development, and deployment of data-driven use cases for Operations

    Main projects :

    (1) Sales Forecasting with Machine Learning (design and industrialization)
    (2) Development of an in-house Python library for sales forecasting.
    (3) Logistics and Industrial Network Optimization
    (4) Predictive maintenance and causal inference on manufacturing
    processe

    Domains: Supply Chain, Logistics, Manufacturing, Purchasing, Finance

    Impacts: (i) Cost reduction, (ii) decreased capital requirements (stocks),
    (iii) enhanced service levels, (iv) reduced environmental impact

    Technologies: Machine Learning, Optimization, Data Platforms, and
    Business Intelligence

    Key clients: Louis Vuitton, Renault, SNCF, Andros, Richemont, Servier

  • BNP Paribas CIB
    Equity Derivatives Analyst
    avril 2019 - octobre 2019 (6 mois)
    Île-de-France, France

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Formations

  • Master's degree, Major in Applied Mathematics
    CentraleSupélec
    2019
    Master's degree, Major in Applied Mathematics
  • Dual Degree - Master in Management Grande Ecole, Finance & Strategy
    ESCP Europe
    2018
    Dual Degree - Master in Management Grande Ecole, Finance & Strategy

Compétences (10)

Catégories