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Cedric FolignoniCF

Cedric Folignoni

Data Scientist

700 €/jour
Paris, FR
3-7 ans

Délai de réponse moyen : 1h

À propos de Cedric

📍 Data Scientist since 2016


I did several end to end projects. My specialty is to understand the business to propose an adapted solution. I'm interested in Data Science to create a real gain for the company.
I have good communication skills to work hand in hand with the business specialists to understand the data and find the best answer possible. I think that's the most important part and I like to put that forward in my work.

In a more practical way, I do Python, I worked full stack projects from data collection to production. I'm able to propose in-depth analysis, statistical validation, fine tuned answers...

Along the way, I can put in place databases, ML models, follow-up dashboards, effective pipelines...

✏️ Feel free to reach out so we can see how we could best work together.
  • Français

    Bilingue ou natif

  • Anglais

    Capacité professionnelle complète

  • Espagnol

    Notions

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

Expériences

  • EssilorLuxottica
    Data Scientist
    INGÉNIERIE MÉCANIQUE
    novembre 2022 - novembre 2023 (1 an)
    Paris, France
  • UBISOFT
    Data Scientist
    JEUX VIDÉO & ANIMATION
    juillet 2018 - janvier 2020 (1 an et 6 mois)
    San Francisco, États-Unis
    -Improvement of the Workforce Planning tool by adding some new features and presentation of the tool to the stakeholders (Producers, HRs, Directors...) -Automate the processing of a survey sent to the company employees (Effective text mining, new analysis axes, powerpoint generation...) -Study of the studio performances and game creations to find new improvement axis Use of Python, SQL, MicroStrategy, JavaScript, AJAX and D3.js
  • UBISOFT
    Data Scientist Junior
    JEUX VIDÉO & ANIMATION
    janvier 2017 - juillet 2018 (1 an et 6 mois)
    Paris, France
    -Realization of a Workforce Planning tool based on Ubisoft main activity. It allows us to vizualise past and actual data and to predict future headcount needed to fulfill the objectives and forecast recruitment, turnover and career evolutions -Prediction of the employee turnover according to their job and seniority in the company. Coupled with the Workforce Planning, it gives you a precise idea about the number of people to come in the next few years -Text mining, sentiment analysis, topic detection and vizualisation of these data for some surveys to simplify the analysis -Enrich analysis using web scrapping -Beginning of a project to help recruiters by creating a smart chatbot -Collaborative management of a second Data Scientist -Internal communication of the various successful projects Use of Python, SQL, MicroStrategy, JavaScript, AJAX and D3.js

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Formations

  • Master's degree in Engineering, Computer science specialized in Big data
    TELECOM Nancy
    2016
    Master's degree in Engineering, Computer science specialized in Big data
  • Master of Science in Computer Science
    Université du Québec à Chicoutimi
    2016
    Master's degree, Computer science

Compétences (9)

Catégories