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Alexandre VareilleAV

Alexandre Vareille

Data scientist - Analyst - Engineer - Entrepreneur

€300/day
Paris, FR
3-7 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Alexandre

Data Scientist Engineer from Ensai (National School of Statistics and Information Analysis), I completed my training in artificial intelligence, Data Science, Machine Learning, and Computer Vision with a specialization in Data Engineering and Big Data.

My various positions and entrepreneurial experiences have led me to work on projects:
- predictive model building,
- recommendation tools,
- data analysis

I have worked in digital marketing, notably for the company Numberly (formerly 1000Mercis), in the agri-food sector with Coca Cola and Carrefour, in the hotel industry with DisneyLand Paris and Louvres Hotel Group, and in the energy sector through studies with OQAI (Indoor Air Quality Observatory).

Today, I am pleased to assist you in building Machine Learning tools or in managing and analyzing your data to address any type of issue.
  • German

    Fluent

  • English

    Native or bilingual

Can work on-site
Paris (up to 10km)

Experience

  • Parently
    Founder and CEO
    MEDICAL
    September 2022 - July 2024 (1 year and 10 months)
    Paris, France
    I founded Parently in parallel with my freelance activity, a company dedicated to remote patient monitoring in the medical and paramedical fields. We are currently developing software aids to help speech therapists monitor their patients daily.
    Software development Data science Data Visualization Business development
  • numberly (1000mercis Group)
    Data Scientist Engineer
    May 2020 - October 2020 (5 months)
    Paris, France
    End-of-studies internship in the Insights and Analytics team - Numberly / 1000Mercis. Digital Marketing Consulting. Statistical analyses and statistical model development for various companies in the context of CRM - Customer Relationship Management. Simple statistical models on massive data from email feedback. Use of big data tools such as Big Query. Creation of cartographic content. Proposal of solutions and recommendations. Written and oral restitution of studies and analyses within the team and for clients.
  • Ministère de l'Agriculture et de l'Alimentation
    Statistician Engineer
    June 2019 - August 2019 (2 months)
    148 Rue de l'Université, 75007 Paris, France
    Internship within the SSP (Service of Statistics and Forecasting) - Ministry of Agriculture and Food. Seasonal adjustment of time series for external agricultural trade. The series of agricultural imports and exports are subject to strong seasonality due to the nature of production - harvest and reproduction periods. Development of statistical models such as SARIMA or GAM on time series to overcome this seasonality phenomenon and interpret French performance.

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Education

  • Specialized Master in Innovation and Entrepreneurship, Entrepreneurship / Innovation
    ESCP Business School
    2022
    Master specialisé Innover et Entreprendre, Entrepreneuriat / Innovation
  • Engineer's Degree in Data Science, Statistics, Computer Science, and Econometrics
    ENSAI
    2020
    Diplôme d'Ingénieur en Data Science, Statistiques, Informatique et Économétrie

Skill set

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