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Malt Strategy
Camille KeisserCK

Camille Keisser

Data Scientist | Ecole Polytechnique, HEC

€200/day
1 project
Paris, FR
0-2 years
Machine learning
Data science
SQL
Dashboard

Average response time: 1 hour

About Camille

Je suis actuellement en stage de Data Science chez Artefact, qui offre du data consulting. J'ai gagné un certain nombre de compétence dans ma license de Mathématique à Imperial College London et dans mon Master Data Science for Business à Ecole Polytechnique et HEC, que j'aimerais appliquer pour développer des entreprises et créer de la valeur.

  • French

    Native or bilingual

  • Spanish

    Native or bilingual

  • English

    Native or bilingual

  • Italian

    Conversational

Can work on-site
Paris (up to 15km)

Experience

  • Artefact
    Data Scientist
    April 2022 - September 2022 (5 months)
    Paris, France

    - Worked on a recommendation system for personalisation of CRM campaigns for a home furnishing retail.
    - Research project on creating a confidence score based on uncertainties to estimate forecast accuracy of CatBoost models of Gradient Boosting on Decision Trees.
    - Explored Operational research libraries, languages and application projects.
    - Benchmark of tools to measure and reduce carbon emissions of data projects.
    - First prize at the Google Hackathon for the Environment.
  • Data for Good
    Data Analyst
    September 2021 - April 2022 (7 months)
    Paris, France
    Worked for Code Carbon, a python package measuring the carbon footprint of your code in real time.
    - Used API to collected data of carbon emission intensity from electricity generation around the world and used Dash Plotly to create the dashboard to display the code carbon emission data at different granularities.
    - Presented the project at the Paris Data Ladies for AI and environment.
  • Self-Employed
    Tutor (Mathematics and Sciences)
    January 2015 - July 2021 (6 years and 6 months)
Check out Camille's experience

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Education

  • MSc, Data Science for Business X-HEC
    École Polytechnique
    2022
    Nous avons approfondi les connaissances fondamentales pour comprendre les algorithmes de Machine Learning, Deep Learning, Optimisation, Reinforcement Learning, etc.
  • Bachelor Mathematics
    Imperial College London
    2021
    J'ai passé 3 ans à étudier uniquement les mathématiques puis me suis spécialisé en statistiques.
Check out Camille's education

Skill set

Python
Deep Learning
Optimization
Artificial Intelligence
Computer Vision
Operation Research
Analyse de données
Data visualisation
Google Data Studio

Categories