Nadia Boukerouis

Data Integrity Analyst at IQVIA Belux
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Contact Information
us****@****om
(386) 825-5501
Location
Brussels, Brussels Region, Belgium, BE
Languages
  • Français Native or bilingual proficiency
  • Anglais Full professional proficiency
  • Italien Limited working proficiency

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Credentials

  • TOEIC : 990
    ETS
    May, 2017
    - Oct, 2024

Experience

    • Belgium
    • Hospitals and Health Care
    • 200 - 300 Employee
    • Data Integrity Analyst
      • Jan 2021 - Present

    • France
    • Chemical Manufacturing
    • 700 & Above Employee
    • Data Scientist
      • Dec 2019 - Nov 2020

    • France
    • Utilities
    • 700 & Above Employee
    • Data Scientist Intern
      • Apr 2019 - Oct 2019

    • France
    • Electric Power Generation
    • 700 & Above Employee
    • Data Scientist Intern
      • Jul 2018 - Aug 2018

      Forecasting of the daily volume of call per regional center using geolocalized weather measurements.Visualization application using R shiny. Forecasting of the daily volume of call per regional center using geolocalized weather measurements.Visualization application using R shiny.

    • France
    • Computer Software
    • Intern
      • Jun 2017 - Jun 2017

      Bibliographic research on Machine learning method to categorize client’s behavior in shops through visual data analyzed by computer vision. First analysis of the result of the computer vision methods. Bibliographic research on Machine learning method to categorize client’s behavior in shops through visual data analyzed by computer vision. First analysis of the result of the computer vision methods.

    • France
    • Civic and Social Organizations
    • 1 - 100 Employee
    • Member
      • Jan 2011 - Jan 2017

      Week long programs, during holidays, where students attend to high-level scientific conferences in French then prepare and give oral presentations around a specific subject. Week long programs, during holidays, where students attend to high-level scientific conferences in French then prepare and give oral presentations around a specific subject.

Education

  • ENSAI – Bruz, France National School for Statistics and Data Analysis.
    Master's degree, Specialized in Statistics and data analysis
    2016 - 2019
  • Sapienza Università di Roma
    Semester Erasmus +, Data Science
    2018 - 2018
  • Université de Rennes I
    Bachelor of Mathematics (double degree)
    2016 - 2017
  • Lycée Chaptal
    Mathematics, Physics,* (MP* French’s "Grandes écoles"​ system), Entrance into ENSAI National School for Statistics and Data Analysis.
    2013 - 2016

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