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thibautvalour/README.md

Hi , I'm Thibaut Valour

About Me :

  • 🎓 Completed my Master of Engineering studies at ENSAE Paris (official graduation in 2023)
  • 🎓 Also completed my Research Master studies at Institut Polytechnique de Paris (official graduation in 2023)
  • 🚙 Currently a Data Scientist Intern at BMW Group in the Web Analytics & E-Commerce team
  • 🏢 Previously a Research Scientist Intern for 6 months at the French Atomic Energy Commission (CEA)
  • 🏢 Previously a Data Scientist Intern for 6 months at Humanitics
  • 🏡 Based in Munich, looking for an opportunity in Paris for 2024

My passion lies in tackling data science and machine learning problems. I have implemented and summarized several research papers in areas such as Reinforcement Learning, Natural Language Processing, Bayesian Statistics and Fairness in Machine Learning, among others. You can explore my work in the pinned repositories below.

Pinned

  1. RL_Soft-Actor-Critic RL_Soft-Actor-Critic Public

    Implementation of Soft Actor-Critic (SAC) for Reinforcement Learning

    Jupyter Notebook 1

  2. NLP_Intent_classification NLP_Intent_classification Public

    Jupyter Notebook 1

  3. Bayesian-clustered-data-treatment-models Bayesian-clustered-data-treatment-models Public

    Study of the spread of a contagious disease, using kernel methods and Bayesian statistics

    Python

  4. AugustinCombes/optimal-transport-fairness AugustinCombes/optimal-transport-fairness Public

    Python implementation and theoretical summary of the paper "Obtaining fairness using optimal transport theory" (Eustasio del Barrio, Fabrice Gamboa, Paula Gordaliza, Jean-Michel Loubes - https://ar…

    Jupyter Notebook 3