Ismail Bachchar

Research And Development Intern at Euranova
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Contact Information
us****@****om
(386) 825-5501
Location
Marseille, Provence-Alpes-Côte d'Azur, France, FR
Languages
  • French Full professional proficiency
  • English Full professional proficiency
  • Arabic Native or bilingual proficiency

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Bio

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Credentials

  • Ericsson Educate Program 2021
    Ericsson
    Aug, 2021
    - Nov, 2024
  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
    Coursera
    Jan, 2021
    - Nov, 2024
  • Structuring Machine Learning Projects
    Coursera
    Jan, 2021
    - Nov, 2024
  • Neural Networks and Deep Learning
    Coursera
    Dec, 2020
    - Nov, 2024
  • DA0101EN: Analyzing Data with Python
    edX
    Jun, 2020
    - Nov, 2024
  • PH125.8x: Data Science: Machine Learning
    edX
    Jun, 2020
    - Nov, 2024

Experience

  • Euranova
    • Belgium
    • Data Infrastructure and Analytics
    • 100 - 200 Employee
    • Research And Development Intern
      • Mar 2023 - Present

      Master’s thesis in Explainable AI: ● Working on developing an open-source perturbation-based XAI library in Python. ● Developing the library’s API for Data scientists that only use the provided methods and for ML researchers who want to contribute by integrating new XAI methods. ● Coding the benchmarking part of the library to let the users compare one method against several others. Speeding up the experiments part of their research. ● Implementing XAI methods for time series data such as FIT and WinIT. Working with Dr. Antoine Bonnefoy, Dr. Quentin Ferré, and Dr. Youssef Achenchabe Show less

  • LAMSADE - Université Paris-Dauphine
    • Paris, Île-de-France, France
    • Master's Student Intern
      • Apr 2022 - Aug 2022

      The internship aimed at detecting data quality issues within the input data using pre-trained models, mainly Decision Trees. Titled “Assisting Data Curator Using Pre-Trained ML Models”. Work done: ● Worked on detecting data quality issues to help the data curation task. ● Proposed a Decicion-Tree based method to detect and report data quality issues within the input data. ● Ran experiments on the public Housing Prices dataset and on synthetically generated data. ● The proposed method was able to detect the Top-5% suspected data quality issues. Under the supervision of Dr. Khalid Belhajjame and Prof. Grigori Daniela Show less

  • Modeling, Simulation and Data Analysis
    • Ben Guerir, Morocco
    • Undergraduate Research Intern
      • May 2021 - Jul 2021

      Research-based internship titled “A Comprehensive Overview of Kernel Principal Component Analysis from a Distance-based Viewpoint”. Work done: ● Studied state-of-the-art Dimensionality Reduction (DR) methods. ● Emphasized PCA and Kernel-PCA as the most important DR techniques from class separation and data structure preservation criteria. ● Provided a Matlab code to tune the DR parameters interactively. ● Run experiments on Helix, Swiss Roll, and Toroidal datasets. Under the supervision of Dr. Diego Hernán Peluffo-Ordóñez. Show less

Education

  • Université Jean Monnet Saint-Etienne
    Master's degree in Machine Learning and Data Mining, Artificial Intelligence
    2021 - 2023
  • Mohammed VI Polytechnic University
    Bachelor's degree in Data Science
    2018 - 2021

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