Mentoring

Mentor

OpenClassrooms — Jan 2025 – Present

I mentor students in the Data Scientist – Machine Learning program in their degree-level training (Bac+5), guiding them on their practical projects and educational progress.

  • Mentoring students in data science, machine learning, and deep learning.
  • Supervising concrete projects in the program: statistical analyses, predictive modeling, ML model deployment, MLOps, Computer Vision, NLP, RAG systems, LLMs.
  • Methodological support to translate business needs into data problems, algorithm selection, and production deployment.
  • Developing students' soft skills: results communication, project management, critical thinking, and autonomy.
  • Contributing to student success and professionalization, preparing them for Data Scientist / Machine Learning Engineer industry standards.

Teaching Experience

SQL Instructor (Part-Time)

IUT Networking and Telecommunications, Aix Marseille University — Oct 2024 – Present

  • Design and lead hands-on practical sessions in SQL for undergraduate students in Networking and Telecommunications.
  • Guide students in relational schema design, complex query writing, and database normalization.
  • Support project-based learning aligned with industry standards.

Research Assistant Professor (192h/year)

Faculty of Sciences, Aix Marseille University — Sept 2022 – Aug 2023

  • Operation of Computers – L1 Science Prep: Tutorials and practical labs
  • Programming – Bachelor in Mathematics & Computer Science: Practical sessions
  • Software Engineering – Bachelor in Computer Science: Practical sessions
  • Embedded Systems – Master TSI: Tutorials and lab work
  • Signal Acquisition & Processing – Master EEEA: Practical sessions
  • Digital Measurement Processing – Bachelor SPI: Practical labs

Teaching Assistant (64h/year)

IUT Networking and Telecommunications, Aix Marseille University — Oct 2019 – Aug 2022

  • Transmission Mathematics – Tutorials and lab sessions
  • Professional Communication – MS Word (report writing) & PowerPoint (presentations)
  • Databases (SQL) – Practical labs and student project supervision