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Paul LafforguePL

Paul Lafforgue

Data Scientist | Machine / Deep Learning | Python

€500/day
6 projects
Paris, FR
0-2 years

Average response time: 1 hour

Freelancer profile translated to English.
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About Paul

Freelance Data Scientist, I offer my technical skills for your Data-oriented projects💡

As a final-year student at École Polytechnique (X2017) and in the Data-Science for Business Master's program (X-HEC), I have developed essential skills for solving diverse problems. I adapt to the constraints of your business sector to design an innovative solution to your challenges with you.

Professional Experiences 🖊
- McKinsey & Company, Facebook.

Tools ⚙️
- Languages: Python, SQL, R
- Machine Learning: Sklearn, XGBoost
- Data Visualization: Ggplot, Seaborn
- Data Processing: Numpy, Pandas, Scipy
- Deep Learning: TensorFlow, Keras
- Office Suite: Excel, Word, PowerPoint

Finally, I love my job and your satisfaction will be my success.
Feel free to contact me to discuss your project! 🚀
  • German

    Fluent

  • English

    Native or bilingual

  • French

    Native or bilingual

Can work on-site
Paris (up to 50km)

Experience

  • Facebook
    Data Scientist Intern
    SOCIAL NETWORKS
    June 2020 - September 2020 (3 months)
    Cité de Londres, United Kingdom
    Internship within the Data Science teams at the London Facebook office (June to August 2020).
    SQL Data visualisation Data science
  • McKinsey & Company
    Consultant Intern
    CONSULTING AND AUDITS
    June 2019 - August 2019 (3 months)
    Paris, France
    Strategy consulting internship at the Paris office. Full-time work on two assignments for various clients in France, England, and Finland.
    - Financial modeling, development of growth plans, and data analysis
    Business model Business plan Business intelligence Business development Microsoft Excel Microsoft Powerpoint Business analysis

Reviews

5.0

Out of 1 rating

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Reviewed on 5/1/2020

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Education

  • MSc Data Science for business X-HEC
    HEC Paris / École polytechnique
    Diplôme conjoint visant à tirer profit des opportunités offertes par la Data-Science et à développer des solutions commerciales en conséquence. Cours pertinents : • Data-Science : Machine Learning, Deep Learning, Database Management. • Business : Comptabilité, Analyse de Données, Stratégie.
  • Polytechnician Engineer Program
    École polytechnique
    Promotion X2017. Cours pertinents : Informatique, Mathématiques Appliquées, Statistiques, Stratégie d'entreprise, Finance, Biologie.

Skill set

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