Ryan Boustany

Teaching Assistant at Université Toulouse 1 Capitole
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Contact Information
us****@****om
(386) 825-5501
Location
France, FR

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Credentials

  • Supervised Machine Learning: Regression and Classification
    DeepLearning.AI
    Dec, 2022
    - Oct, 2024

Experience

  • Université Toulouse 1 Capitole
    • France
    • Higher Education
    • 700 & Above Employee
    • Teaching Assistant
      • Sep 2022 - Present

      Analysis 1 Python for Data-Science Analysis 1 Python for Data-Science

  • Thales
    • France
    • IT Services and IT Consulting
    • 700 & Above Employee
    • PhD Candidate
      • Jan 2022 - Present

      Topic : - Sensitivity and robustness analysis of neural networks by conservative calculus - Conservative fields in machine learning Advisors: Jérôme Bolte, Édouard Pauwels and Béatrice Pesquet-Popescu Topic : - Sensitivity and robustness analysis of neural networks by conservative calculus - Conservative fields in machine learning Advisors: Jérôme Bolte, Édouard Pauwels and Béatrice Pesquet-Popescu

  • Toulouse School of Economics
    • France
    • Higher Education
    • 100 - 200 Employee
    • PhD Candidate
      • Jan 2022 - Mar 2023

      Topic : - Sensitivity and robustness analysis of neural networks by conservative calculus - Conservative fields in machine learning Advisors: Jérôme Bolte, Édouard Pauwels and Béatrice Pesquet-Popescu Topic : - Sensitivity and robustness analysis of neural networks by conservative calculus - Conservative fields in machine learning Advisors: Jérôme Bolte, Édouard Pauwels and Béatrice Pesquet-Popescu

  • Carrefour
    • France
    • Retail
    • 700 & Above Employee
    • Data Science Intern at Carrefour Google Lab
      • Apr 2021 - Oct 2021

      Anomaly detection algorithms Anomaly detection algorithms

  • Mediametrie
    • France
    • Market Research
    • 400 - 500 Employee
    • Research Assistant
      • Oct 2020 - Apr 2021

      Contribution to the construction and performance evaluation of database fusion and cross-media audience measurement models used or already in development at Médiamétrie. Supervised by Guillaume Lecué. Contribution to the construction and performance evaluation of database fusion and cross-media audience measurement models used or already in development at Médiamétrie. Supervised by Guillaume Lecué.

  • CNRS
    • France
    • Research Services
    • 700 & Above Employee
    • Scientific research project
      • Jun 2020 - Sep 2020

      Title: Mathematical models and processing of very high dimensional data. Theme : Reconciliation / fusion of databases / procustean distance / group synchronization / graph matching. Research supervisor: Guillaume Lecué Title: Mathematical models and processing of very high dimensional data. Theme : Reconciliation / fusion of databases / procustean distance / group synchronization / graph matching. Research supervisor: Guillaume Lecué

  • Criteo
    • France
    • Advertising Services
    • 700 & Above Employee
    • Machine Learning Research Project
      • Oct 2019 - May 2020

      Title: Building a click prediction model with constraints on data quantity and evaluation time Context: Statistics Applied Project is part of the ENSAE Engineering Curriculum. Criteo is a French internet advertising retargeting company. - Creation of statistical estimators for the selection of buying/selling rules on the market under big data environment (scipy, xgboost, keras, sklearn) Title: Building a click prediction model with constraints on data quantity and evaluation time Context: Statistics Applied Project is part of the ENSAE Engineering Curriculum. Criteo is a French internet advertising retargeting company. - Creation of statistical estimators for the selection of buying/selling rules on the market under big data environment (scipy, xgboost, keras, sklearn)

  • Caisse nationale de solidarité pour l'autonomie
    • France
    • Government Administration
    • 100 - 200 Employee
    • Project manager within the Resources department for the Finance/Budget & HR divisions
      • Jun 2019 - Jul 2019

      Development of a standard VBA file to ensure the interface between all CNSA departments producing budget forecast data and the financial department which must obtain a consolidated and synthetic version Automation of the production of a file (csv) allowing the injection of budgetary data into the financial tool. Development of a standard VBA file to ensure the interface between all CNSA departments producing budget forecast data and the financial department which must obtain a consolidated and synthetic version Automation of the production of a file (csv) allowing the injection of budgetary data into the financial tool.

Education

  • École Polytechnique
    M.Sc Datascience · Mathématiques et Applications
    2020 - 2021
  • ENSAE Paris
    Master of Science - MS, Statistics
    2018 - 2021
  • Université Paris Dauphine
    Bachelor's degree in applied mathematics
    2015 - 2018
  • Lycée Notre-Dame de la Providence - Enghien-les-Bains
    Baccalauréat S
    2012 - 2015

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