Eya Ben chaaben

Machine Learning Intern at CMA Mines Paris - PSL
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Location
France, FR

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Experience

    • Machine Learning Intern
      • May 2022 - Oct 2022

      develop an approximation model of the numerical simulator using techniques of machine learning. Such models are commonly called “Surrogate Models” and have the advantage to be computationally inexpensive. The objective of this internship is therefore to develop a model of substitution (Surrogate Model) of the digital simulator based on techniques automatic learning (Machine Learning, deep neural networks) develop an approximation model of the numerical simulator using techniques of machine learning. Such models are commonly called “Surrogate Models” and have the advantage to be computationally inexpensive. The objective of this internship is therefore to develop a model of substitution (Surrogate Model) of the digital simulator based on techniques automatic learning (Machine Learning, deep neural networks)

    • Singapore
    • Information Technology & Services
    • 1 - 100 Employee
    • Quantitative Researcher
      • Jul 2021 - Aug 2021

      The development of a python code that helps in the analysis of data from the cryptocurrency market in order to create a profitable and less risky portfolio by comparing itself with the Markowitz method. The development of a python code that helps in the analysis of data from the cryptocurrency market in order to create a profitable and less risky portfolio by comparing itself with the Markowitz method.

    • Workman internship
      • Jul 2020 - Aug 2020

Education

  • Université Paris-Saclay
    PhD, Machine learning and Human computer interaction
    2022 - 2025
  • Tunisia Polytechnic School
    Diplôme d'ingénieure polytechnicienne, Économie et Gestion Scientifique
    2019 - 2022
  • IPEIN - Institut Préparatoire aux Études d'Ingénieur de Nabeul
    rang 25/900
    2017 - 2019

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