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Mouad HILALI

I am a hardworking and ambitious 25 years old with a great passion for Machine Learning and Data Science. I have experience with Machine learning through numerous projects that I worked on to obtain my Data Scientist degree. I have excellent communication skills, enabling me to effectively communicate with people with different interests. I am now seeing a position in the industry in which I can put into practice my knowledge and experience, ultimately benefiting the operations of the organization that I work for.
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Centre de Physique des Particules de Marseilles (CPPM)
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Aix-Marseille Université
Marseille, France

Professional Background

  • Statut Actuel
    Étudiant
  • Profession
    Data Scientist
  • Fields
  • Expérience professionnelle
    Moins de 1 an (Moins de 1 an pertinente)
  • Management
  • Skills
    python programming
    C++ Language
    Bash
    Machine Learning Data Science
    Scikit-Learn
  • Languages
    Arabic
    Natif ou Bilingue
    French
    Courant
    English
    Courant
  • Highest level of education
    Master

Job search preferences

  • Desired job type
    Temps plein
    Intéressé par le travail à distance
  • Desired positions
    Data Scientist
  • Lieu de travail désiré
    France
    Germany
    Spain
    United States
    Japan
    Italy
    Denmark
    United Kingdom
    Norway
    Switzerland
    Sweden
    Iceland
  • Freelance
    Je ne suis pas indépendant

Work Experience

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Internship within the FC-CPPM team at CPPM

mars 2020 - juil. 2020
5 mos
- Simulation of processes using frameworks based on C++, Python and Fortran (Pythia8, MadGraph and Whizard). - Data Analysis using CERN's Root.
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Internship with the FCC team at the LPC

févr. 2019 - juin 2019
5 mos
- Simulation of processes using a Python based framework (MadGraph). - Data Analysis using Numpy and CERN's Root.
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Internship at the Computing Center IN2P3 in Lyon

avr. 2019 - avr. 2019
1 mo
- Basics on Data Storage and Data Processing methods. - Introduction to NoSQL databases.
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Internship at the LPC

avr. 2018 - juin 2018
3 mos
- Simulation of Atmospheric muon generation using a C++ based framework (Pythia8). - Data Analysis using Root (a C++ based framework for data analysis created by CERN).

Education

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Master of Science (MS)
Theoretical Fundamental Physics
2019 - 2020
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Other
Data Science
2018 - 2019
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Master’s Degree
Fundamental Physics - Univers et Particules
2017 - 2019
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Bachelor’s Degree
Fundamental Physics
2016 - 2017