Skip to main content
Home Home

Main navigation

  • Community
  • Challenges
  • Jobs
en
  • English
  • French
  • Dutch
BO

BECHIR OUSMANE TOM

Informatique – Machine Learning @ Université de Lille
Île-de-France, France

Étudiant en Master 2 Informatique – spécialité Machine Learning, passionné par l’IA et la Data Science avec des projets en machine learning, deep learning, et analyse de survie.

Top roles

Developer / Programmer< 2 years

Back-end

SQL
Python
Scala

Miscellaneous

Machine Learning

Cloud

Docker

Front-end

React
Language
Native French
French
Native
English
Average
Work experience
Since 2025
Stagiaire IA @ Acteam-IT
01 June 2025 - 31 August 2025

Intégration d’IA dans un logiciel de GMAO, analyse de données techniques, développement de modèles prédictifs.

Education experience
Since 2021
Informatique – Machine Learning @ Université de Lille
01 September 2025 - 30 June 2026

Master 2 en Informatique, spécialité Machine Learning.

Informatique – Machine Learning @ Université de Lille
01 September 2024 - 30 June 2025

Master 1 en Informatique, spécialité Machine Learning.

Informatique & Mathématiques @ Université de Lille
01 September 2021 - 30 June 2024

Licence en Informatique et Mathématiques appliquées.

Connect with BECHIR OUSMANE TOM

Welcome back

Welcome on board!

  • Sign in
  • Become a member
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.

Oops, I

forgot my password
Sign up with your email
footer logo

EDITx allows IT people, companies & universities to highlight their IT expertise, to network, share events, participate in challenges and find interesting tech jobs.

Follow us

  • editx-facebook
  • editx-twitter
  • editx-instagram

Share the ❤ with your friends

Footer

  • EDITx
    • About us
    • FAQ
    • Contact
  • Tech Talents
    • Community
    • Tech Challenges
    • IT jobs
  • Employers
    • About Challenges
    • Use cases
    • Products

©2023 EDITX - All rights reserved - Use policy - Privacy policy - Challenge terms