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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

  • Situación actual
    Estudiando
  • Profession
    Data Scientist
  • Fields
  • Experiencia laboral
    Menos de 1 año (Menos de 1 año relevante)
  • Management
  • Skills
    python programming
    C++ Language
    Bash
    Machine Learning Data Science
    Scikit-Learn
  • Languages
    Arabic
    Nativo o bilingüe
    French
    Fluido
    English
    Fluido
  • Highest level of education
    Master

Job search preferences

  • Desired job type
    A tiempo completo
    Interesado en trabajar a distancia
  • Desired positions
    Data Scientist
  • Lugares de trabajo deseados
    France
    Germany
    Spain
    United States
    Japan
    Italy
    Denmark
    United Kingdom
    Norway
    Switzerland
    Sweden
    Iceland
  • Freelance
    No freelance

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

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

abr 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