Abderrahim Ait Azzi

Senior Data Scientist at 2OS : Deep no-code platform for high-impact applications
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Contact Information
us****@****om
(386) 825-5501
Location
France, FR
Languages
  • Français Native or bilingual proficiency
  • Arabe Native or bilingual proficiency
  • anglais Professional working proficiency
  • Allemand Elementary proficiency

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Maxime Derome

During his internship at Renault, Abderrahim has studied machine learning algorithms applied to automotive area. He has shown a great interest and enthusiasm in his work. He has rigorously reviewed / implemented several algorithms from the litterature, obtaining very satisfying results.

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Experience

    • Senior Data Scientist
      • Jan 2021 - Present

      2OS is a no-code & AI technology platform that allows to build, in a totally autonomous way, even sophisticated Business software applications without any line of code. This platform also provides access to highly efficient AI algorithms.

    • Data Scientist
      • Oct 2018 - Present

    • Data Scientist Intern
      • Apr 2018 - Present

      Multi-language sentence generation.

    • France
    • Motor Vehicle Manufacturing
    • 1 - 100 Employee
    • Data Scientist intern
      • Apr 2017 - Sep 2017

      My work aims the prediction of the cut-in behavior, in order to ensure the security of the autonomous vehicles, and to avoid the collisions. In this internship I used Matlab and Python to implement the different algorithms especially : - Hidden Markov Models. - Recurrent Neural Networks (LSTM). - Support Vector machine. My work aims the prediction of the cut-in behavior, in order to ensure the security of the autonomous vehicles, and to avoid the collisions. In this internship I used Matlab and Python to implement the different algorithms especially : - Hidden Markov Models. - Recurrent Neural Networks (LSTM). - Support Vector machine.

    • France
    • Research Services
    • 700 & Above Employee
    • Part-time research
      • Oct 2016 - Sep 2017

      Closed-form approximation of the Cross-Validation Leave-p-out risk estimator. Closed-form approximation of the Cross-Validation Leave-p-out risk estimator.

    • Denmark
    • Research Services
    • 700 & Above Employee
    • Research Intern
      • May 2016 - Sep 2016

      My work aims at learning various methods and applying them to the data from Matematikfessor, website designed by the startup Edulab. My goals included some of these objectives: - Manipulating the website to understand the process of production of data - Making the state of the art of educational data analysis (exploring the literature to learn tools) - Learning R language. My work aims at learning various methods and applying them to the data from Matematikfessor, website designed by the startup Edulab. My goals included some of these objectives: - Manipulating the website to understand the process of production of data - Making the state of the art of educational data analysis (exploring the literature to learn tools) - Learning R language.

    • Denmark
    • E-Learning Providers
    • 1 - 100 Employee
    • intern data analysis
      • May 2016 - Sep 2016
    • Congo
    • Management Consulting
    • 1 - 100 Employee
    • Training
      • Sep 2014 - Nov 2014

Education

  • École normale supérieure
    Master's degree in Applied Mathematics, Machine Learning, Artificial intelligence, Statistical Learning, Computer Vision and Data Mining
    2017 - 2018
  • Ecole centrale de Lille
    Engineering student from Ecole Centrale de Lille, one of the top French Engineering schools,, Major: Data Science
    2014 - 2017
  • Université Lille 1 Sciences et Technologies
    Master 2 (M2), Applied Mathematics
    2016 - 2017
  • Moulay youssef Higher School Preparatory Classes
    Mathematics and Physics field (MP), Ranking 91th over 5000 candidates
    2012 - 2014
  • Lycée El hassan El ouazzani , Maroc
    Baccalauréat, specialized in mathematical sciences
    2010 - 2012

Community

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