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Virgile MermetVM

Virgile Mermet

Data engineer & Machine Learning Expert

€600/day
Paris 13e Arrondissement, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Virgile

Graduate of Ecole Polytechnique (X2013) and Ecole Normale Supérieure (MVA). Lead Tech Data Science profile.
Expert Machine Learning & Data Engineering.
After working on research topics and learning models in Deep Learning, I decided to carry out data science missions with clients in order to broaden my practical data science / devops / software engineer skills.
  • English

    Fluent

  • French

    Native or bilingual

Can work on-site
Paris 13e Arrondissement (up to 50km)

Experience

  • Village AI
    CTO Expert AI
    DIGITAL AND IT
    March 2019 - Today (7 years and 5 months)
    Paris, France
    "We are experts in machine learning, providing consulting and innovative solutions to improve your business performance."

    AI Expert - mission scoping - project manager (costing, roadmap...)
    We develop cutting-edge artificial intelligence solutions in an agile mode
    Implementation of tailor-made solutions for large groups.

    Mastery of the value chain, from scope to industrialization/integration.
    MAchine learning Project management Python Data science
  • BIG Mama Technology
    AI Expert
    DIGITAL AND IT
    January 2019 - February 2020 (1 year and 2 months)
    Paris, France
    Development of custom machine learning solutions for international clients.
    machine learn Python Scikit-learn Data science
  • Bluelife
    Machine learning - Problem solver
    ENERGY AND UTILITIES
    September 2018 - December 2018 (3 months)
    Paris, France
    Implementation of a consumption prediction system.
    Business intelligence Machine learning Python Scikit-learn Pandas Deep Learning

Recommendations

Marc SarfatiMS
FU
Marc Sarfati and 1 other person have recommended Virgile

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Education

  • MVA - Mathematics Vision Learning
    ENS Cachan
    2017
    Master spécialisé en machine learning. Niveau recherche sur les sujets d'apprentissage, multiples projets implémentés, fondements théoriques vastes et solides.
  • Polytechnique
    Ecole polytechnique
    2017
    Ecole polytechnique intégrée en filière MP. Cours de maths, proba/stats, physique et computer science. Classé dans les 10% de la promotion. Spécialisation Data Science.

Skill set

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