Bartholomé Cauchois, PhD

Project Leader Data at HeadMind Partners
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Contact Information
us****@****om
(386) 825-5501
Location
Greater Paris Metropolitan Region, FR
Languages
  • Français Native or bilingual proficiency
  • Anglais Native or bilingual proficiency
  • Espagnol Native or bilingual proficiency

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Credentials

  • Getting Started with Azure DevOps Boards
    Coursera
    Jan, 2021
    - Nov, 2024
  • Generating New Recipes using GPT-2
    Coursera
    Oct, 2020
    - Nov, 2024
  • Linux Networking and Troubleshooting
    Linux Academy
    Sep, 2020
    - Nov, 2024
  • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
    Coursera
    May, 2020
    - Nov, 2024
  • Convolutional Neural Networks in TensorFlow
    Coursera
    May, 2020
    - Nov, 2024
  • Linux in 5 Days and Level Up Your Career
    Udemy
    May, 2020
    - Nov, 2024
  • Natural Language Processing in TensorFlow
    Coursera
    May, 2020
    - Nov, 2024
  • Sequence Models
    Coursera
    May, 2020
    - Nov, 2024
  • Sequences, Time Series and Prediction
    Coursera
    May, 2020
    - Nov, 2024
  • Elasticsearch 7 and the Elastic Stack - In Depth & Hands On!
    Udemy
    Apr, 2020
    - Nov, 2024
  • Information Visualization: Programming with D3.js
    Coursera
    Mar, 2020
    - Nov, 2024
  • Big Data Integration and Processing
    Coursera
    Jun, 2019
    - Nov, 2024
  • Big Data Modeling and Management Systems
    Coursera
    May, 2019
    - Nov, 2024
  • Convolutional Neural Networks
    Coursera
    May, 2019
    - Nov, 2024
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
    Coursera
    Apr, 2019
    - Nov, 2024
  • Introduction to Big Data
    Coursera
    Apr, 2019
    - Nov, 2024
  • Structuring Machine Learning Projects
    Coursera
    Apr, 2019
    - Nov, 2024
  • Neural Networks and Deep Learning
    Coursera
    Mar, 2019
    - Nov, 2024
  • The R Programming Environment
    Coursera
    Mar, 2019
    - Nov, 2024
  • Applied Machine Learning in Python
    Coursera
    Jan, 2019
    - Nov, 2024
  • Applied Plotting, Charting & Data Representation in Python
    Coursera
    Jan, 2019
    - Nov, 2024
  • Capstone: Retrieving, Processing, and Visualizing Data with Python
    Coursera
    Dec, 2018
    - Nov, 2024
  • Introduction to Data Science in Python
    Coursera
    Dec, 2018
    - Nov, 2024
  • Python Data Structures
    Coursera
    Nov, 2018
    - Nov, 2024
  • Using Databases with Python
    Coursera
    Nov, 2018
    - Nov, 2024
  • Using Python to Access Web Data
    Coursera
    Nov, 2018
    - Nov, 2024
  • Programming for Everybody (Getting Started with Python)
    Coursera
    Oct, 2018
    - Nov, 2024

Experience

    • France
    • Business Consulting and Services
    • 700 & Above Employee
    • Project Leader Data
      • Jul 2019 - Present

      -Able to organize data related projects -Capable of collecting, exploring and structuring data -Capable of designing databases -Known for optimizing data pipelines -Extensive background in Python -Expert at deploying machine learning algorithms -Proficient at communicating results through infographics -Able to organize data related projects -Capable of collecting, exploring and structuring data -Capable of designing databases -Known for optimizing data pipelines -Extensive background in Python -Expert at deploying machine learning algorithms -Proficient at communicating results through infographics

    • France
    • Higher Education
    • 700 & Above Employee
    • PhD, Theoretical Physics
      • Jan 2015 - Jun 2018

      Titulaire d'un doctorat de physique nucléaire statistique effectué au Grand Accélérateur National d'Ions Lourds. Mes travaux de recherche portent sur l'informatique, les statistiques ainsi que sur leurs nombreuses applications en physique mais également dans d'autres domaines tels que le machine learning et le deep learning. Ces activités de recherche sont le fruit d'une collaboration internationale et pluridisciplinaire entre la France, le Japon, la Pologne et la Chine. Expertises scientifiques : -Analyse de régression : Fondement mathématique sur lequel repose l'apprentissage statistique (i.e., machine learning/deep learning) et permettant d'optimiser les paramètres des modèles. -Analyse d'incertitudes : Méthode statistique quantifiant l'importance de chaque paramètre d'un modèle et les erreurs induites sur ses prédictions. -Calculs stochastiques : Résolution analytique et numérique d'équations différentielles stochastiques employées en mathématique financière (e.g., modèle de Black-Scholes) et d'autres champs des mathématiques appliquées. Show less

    • France
    • Research Services
    • 700 & Above Employee
    • Quantum Mechanics
      • Apr 2014 - Jun 2014

      Solving the 2-body interacting inside a random potential well using finite element method. Language: MATLAB, Octave and Mathematica. Solving the 2-body interacting inside a random potential well using finite element method. Language: MATLAB, Octave and Mathematica.

    • France
    • Research
    • 700 & Above Employee
    • Quantum Mechanics
      • Jan 2013 - Apr 2013

      Computing statistical distribution of quantum energy levels for 1-body in random potential well. Language: C, Mathematica Computing statistical distribution of quantum energy levels for 1-body in random potential well. Language: C, Mathematica

    • France
    • Research Services
    • 700 & Above Employee
    • Reactor Neutronics
      • Jun 2012 - Aug 2012

      Studying the impact of the cross section energy covariance on neutron transport. Language: C++, C. Studying the impact of the cross section energy covariance on neutron transport. Language: C++, C.

Education

  • Polytechnique Montréal
    Bachelor of Engineering, Engineering Physics/Applied Physics
    2005 - 2011
  • Université de Caen Normandie
    PhD, Theoretical Physics
    2015 - 2018
  • Université Paris-Sud
    Master's degree, Physics
    2011 - 2014
  • Collège international Marie de France
    Baccalauréat

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