2024 – now
Bachelor — CPES Data Science, Arts & Cultures
Selective, multidisciplinary curriculum in Mathematics, Data Science, Algorithmics, and Cultural Sciences.
Curriculum Vitae
About Me
Undergraduate data science student at the CPES Data Science, Arts and Cultures bachelor of Paris Sciences et Lettres – PSL University with a strong interest in Natural Language Processing,
Optical Character Recognition, Automatic Speech Recognition, as well as their application to history,
archaeology, geopolitics or cultural studies.
I aim to specialize in quantitative modeling and analysis of low-resource languages
and Arabic dialects, while remaining open to new experiences.
education
2023 – 2024
CPGE — MP2I
Highly selective French preparatory program focused on Mathematics, Physics, and Computer Science.
2022 – 2023
Baccalaureate — Mathematics and Physics
Graduated with Highest Honors.
internships
2025 – now
PROCLAC Lab – Research Intern
Codicology and manuscript analysis using Handwritten Text Recognition methods and data collection of 15th-century Arabic and Aljamiado manuscripts.
This internship was an opportunity for me to work on pre-treatment optimisation with python and data collection thanks to eScriptorium and Kraken HTR models,
while learnin about research metodology.
Supervisors: Riham Mokrani & Prof. Nurilla de Castilla
involvements
2026 – now
Active Member — Al-Adab Association
Promoting Arab cultures and dialogue through films, concerts, debates, and other events such as United Nation simulations or meetings with researchers in collaboration with iReMMO.
2025 – 2026
Elected Representative — CPES Student Union
Coordinating team efforts, planning student events, and mentoring first-year students.
2019 – 2023
Active Member — Carthago Nostrum Association
Promoting Tunisian culture and debates through meetings, conferences and multimedia content. Edited video content, including interviews with historians and journalists such as Sophie Bessis.
2022 – 2023
High School Tutoring
Provided support in mathematics, physics, and informatics to other high school students.
skills
Technical
- Mathematics: Second-year undergraduate level, with a solid grasp of core tools in analysis and algebra
- Data Science: Able to apply standard models using scikit-learn, including logistic, ridge, and multivariate regression, neural networks, and classic NLP embedding models
- Programming: Proficiency in Python. Basic skills in C, OCaml, and LaTeX
- Physics and industrial science at first year CPGE level
Languages
- French — native
- Tunisian Arabic — native
- English — C1
- Standard Modern Arabic — A2
- Italian — Beginner
- Basic knowledge of Russian, German, Latin, and Ancient Greek studied in high-school
hobbies
Music
Self-taught Ney and Oud. Oboe at conservatory
Third-cycle music
theory with highest honors
Composition on MuseScore
Sport
Road cycling in a club