I am a data scientist and researcher with a background in machine learning, natural language processing, and software development.

I have worked on research projects, built practical tools, and explored how people and systems interact in open-source communities. My training combines academic work in artificial intelligence and real-world experience with data, code, and collaboration.

đź’Ľ Experience

Researcher (Sep 2023 – Present)

đź“Ť University of Mons - Mons, Belgium

  • Research on software engineering practices within open-source communities.
  • Studying adoption, impact, and enhancement of automated processes in software workflows.
  • Assisting in computer science education, mentoring students on research projects.

Data Scientist Intern (Feb - Jun 2023)

đź“Ť Institut Lyfe - Lyon, France

  • Conducted statistical analysis on odor perception and cognitive effects.
  • Implemented machine learning models for analyzing olfactory perception.
  • Applied natural language processing for evaluating aroma descriptions.

Software Developer Intern (May - Jun 2022)

đź“Ť Artificial & Business Intelligence Soft - Fez, Morocco

  • Developed Java-based web applications.
  • Worked on relational databases, UI design, and Agile development.
  • Applied Spring Framework for back-end development.

🎓 Education

Master’s Degree in Machine Learning & Data Science

📍 Université Sorbonne Paris Nord - Paris, France (2022 – 2023)

  • Focus on statistics, data mining, data warehouse, machine learning, deep learning, and business intelligence.

Master’s Degree in Web Intelligence & Data Science

📍 Université Sidi Mohammed Ben Abdellah - Fez, Morocco (2021 – 2023)

  • Studied data exchange and interoperability, operations research, optimization, modeling & simulation, artificial intelligence, natural language processing, text mining, web mining, and visual analytics.

Bachelor’s Degree in Mathematics & Computer Science

📍 Université Sidi Mohammed Ben Abdellah - Fez, Morocco (2018 – 2021)

  • Courses in linear algebra, calculus, probability & statistics, programming, algorithms, databases, OS, and computer networks.

🛠️ Skills

  • Programming: Python, Java, R, C/C++
  • Data Science & Machine Learning: Supervised/Unsupervised Learning, Deep Learning, natural language processing, Recommender Systems, Statistical Analysis, Computer Vision
  • Software Engineering: OOP, UML, Merise, Design Patterns, REST APIs, Git, Agile
  • Databases: MySQL, Oracle, SQLite, PL/SQL, NoSQL

đź“š Certifications

Machine Learning Specialization

đź“Ť DeepLearning.AI & Stanford University, through Coursera (Sep - Nov 2022)

  • Supervised Machine Learning: Regression and Classification.
  • Advanced Learning Algorithms.
  • Unsupervised Learning, Recommenders, Reinforcement Learning

Fine Tune BERT for Text Classification with TensorFlow

đź“Ť Coursera Project Network, through Coursera (Jun 2022)

  • Build TensorFlow Input Pipelines for Text Data
  • Tokenize and Preprocess Text
  • Fine-tune BERT for text classification

AI For Everyone

đź“Ť DeepLearning.AI, through Coursera (Mar 2022)

  • Neural networks, machine learning, deep learning, and data science

🌍 Languages

  • Amazigh & Arabic (Native/Bilingual)
  • French (Full Professional Proficiency)
  • English (Professional Working Proficiency)

🎗 Volunteering

Linkee (Food Distribution Volunteer) (2023)

đź“Ť Lyon, France

  • Distributed food to students in need and provided information on social programs.

Équipage Solidaire (Deliverer – Delivr’aide) (2023)

đź“Ť Lyon, France

  • Helped deliver essential food and hygiene kits to students in need.

đź“„ Curriculum Vitae

🔎 View My CV