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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

  • Current status
    Studying
  • Profession
    Data Scientist
  • Fields
  • Work experience
    Less than 1 year (Less than 1 year relevant)
  • Management
  • Skills
    python programming
    C++ Language
    Bash
    Machine Learning Data Science
    Scikit-Learn
  • Languages
    Arabic
    Native or Bilingual
    French
    Fluent
    English
    Fluent
  • Highest level of education
    Master

Job search preferences

  • Desired job type
    Full-time
    Interested in working remotely
  • Desired positions
    Data Scientist
  • Desired work locations
    France
    Germany
    Spain
    United States
    Japan
    Italy
    Denmark
    United Kingdom
    Norway
    Switzerland
    Sweden
    Iceland
  • Freelance
    Non-freelancer

Work Experience

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Internship within the FC-CPPM team at CPPM

Mar 2020 - Jul 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

Feb 2019 - Jun 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

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

Apr 2018 - Jun 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