Freelancer profile translated to English.

Description

Data Scientist/Data Analyst for 5 years, I have had the opportunity to evolve in various environments and demonstrate a great capacity for adaptation and rigor, and I am looking for new challenges 🚀

For 4 years, I have been supporting professional clubs and sports federations in analyzing their data, creating predictive and prescriptive models, and building dashboards 📊

I also participated in the creation and implementation of data strategies, under the responsibility of CxOs, in direct exchange with business units, to best support the data transition in high-level sports ⚽

Before that, I worked as a Data Scientist Consultant in a consulting firm, in the retail and luxury sectors, within data-dedicated structures, working on topics from PoCs to industrialization 🧪

These experiences have allowed me to develop expertise in Python & R, as well as Tableau & Power BI. I also have good experience in SQL, and I speak English fluently 🇺🇸

Languages

French
Native or bilingual
English
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 10km)

Data 4 Sports
Lead Data Scientist / CEO
SOFTWARE PUBLISHING
June 2017 - Today (9 years)
Paris, France
CEO and Lead Data Scientist, I had the opportunity to support clubs and federations in the use of data, in direct exchange with CxOs and business units (sporting directors, coaches, physical trainers, analysts, scouts, ...).
Major collaborations: FFF (National Team), Paris Saint-Germain, AS Monaco, Stade Rennais FC, FFR (XV and 7).
Data science Data visualisation Project management Python Microsoft Power BI Tableau software CEO Scikit-learn
Accenture
Data Scientist Consultant
CONSULTING AND AUDITS
March 2017 - March 2018 (1 year and 1 month)
Paris, France
Data Science Consultant within the Accenture Interactive then Accenture Digital entity, I worked in the retail and luxury sectors.
Within data departments, I collaborated on various projects, from loyalty programs to scheduling optimization.
In partnership with the IT department and end-users, my missions covered a very wide scope, including scrapping, data engineering, development and industrialization of predictive and prescriptive models, and creation of interactive dashboards for users.