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Maxime BellecMB

Maxime Bellec

dev/data for social/ecological impact

€550/day
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Maxime

I am a committed engineer and versatile developer.
I develop Data Science websites and applications, now working at the cooperative telescoop.fr after several years as a freelancer.
We aim to work as much as possible with actors who are at least attentive to the social and ecological impact of their activities, and ideally with companies whose mission is primarily social or ecological impact.

Graduated from Centrale Paris in applied mathematics (2015) and with an M2 in Data Science from Polytechnique (2017), my IT skills are broad, particularly in web development (front and back) and data processing (Data Science).

I am an expert in Python (artificial intelligence, data processing, web back-end) and Javascript, especially in modern front-end web development frameworks (Angular, React, Vue).

I have good knowledge in system administration, which makes me a full-stack developer.

I can handle the entire lifecycle of a machine learning / data science tool (algorithm selection, rapid development with real data, production deployment, monitoring tools) and a website (rapid prototyping, production deployment, progressive feature addition).
  • French

    Native or bilingual

  • English

    Native or bilingual

  • German

    Fluent

  • Portuguese

    Conversational

  • Spanish

    Conversational

Can work on-site
Paris (up to 50km), Paris (up to 15km), Vernon (up to 10km), Rouen (up to km)

Experience

  • Akuo Energy
    Full-stack developer
    ENERGY AND UTILITIES
    April 2020 - May 2020 (2 months)
    Development of an interface for an electricity production plant simulation software.

    Stack: Angular, Django.
  • electricityMap.org
    Full stack developer / machine learning engineer
    ENERGY AND UTILITIES
    January 2018 - Today (8 years and 7 months)
    Paris, France
    Participate in the development of the site (which is open source): modifications on the front-end, addition of new parsers.
    Participate in infrastructure management (launch parsers and check data quality) and carbon intensity and electricity mix prediction algorithms.
    System administration Python JavaScript Machine learning
  • Sysnav
    Research engineer
    AVIATION AND AEROSPACE
    May 2017 - December 2017 (8 months)
    Vernon, France
    Studies for the integration of inertial sensors, particularly magnetic, to improve the accuracy of autonomous cars.
    Machine learning Data visualisation Python Research

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Education

  • Engineer in applied mathematics
    Centrale Paris
    2015
    Formation d'ingénieur généraliste pendant deux ans, puis spécialisé en mathématiques appliquées (machine learning).
  • Master 2 Data Science
    Polytechnique / Télécom Paris / Orsay
    2017
    Data Science

Skill set

Categories