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Vincent ChéryVC

Vincent Chéry

Supermalter

Data scientist / Python developer

€700/day
4 projects
Étel, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Vincent

Do you want to leverage your data to solve a problem you are facing? Have you started a project and need reinforcement on the Data side? Data Scientist/Data Engineer with a background in physics, I intervene for short or long missions:

- upstream of development: diagnosis of available data, feasibility study, data strategy and architecture

- on PoC (Proof of Concept) developments: to test an idea quickly and at a low cost, I help you validate/invalidate an idea quickly and efficiently

- development: implementation of data architecture, development of automated data pipelines, monitoring solutions, error detection, dashboards, online learning...

My values and methods:
- user orientation
- intellectual rigor
- agile development
  • French

    Native or bilingual

  • English

    Native or bilingual

Can work on-site
Étel (up to 50km)

Experience

  • Ministère de l'Environnement
    Data Scientist
    August 2020 - Today (6 years)
    Étel, Brittany, France
  • Mytraffic
    Head of Value Creation Team
    September 2019 - August 2020 (11 months)
    Paris Area, France
  • Ignition Program
    Community member
    March 2019 - August 2020 (1 year and 5 months)
    Paris Area, France
    Ignition Program is the first graduate program for the next generation of A-players. - Passed successfully the selection process keeping the top 5-10% of the +1600 monthly applications. - Attend training events and workshops to grow one's entrepreneurial spirit

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Education

  • 2011
    Université Denis Diderot (Paris VII) / University Paris VII
    2011
    Master recherche "Dispositif quantiques" Nanotechnologies, optoélectronique, science des matériaux
  • edX Micromaster's
    University of California San Diego
    2018
    This MicroMasters program encompasses two sides of data science learning: the mathematical and the applied. Mathematical courses cover probability, statistics, and machine learning. The applied courses cover the use of specific toolkit and languages such as Python, Numpy, Matplotlib, pandas and Scipy, the Jupyter notebook environment and Apache Spark.

Skill set

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