Data Science Student at Université Paris-Saclay, Institut Polytechnique de Paris & HEC Paris
I am a Data Science student in the first cohort of the prestigious CPES (Cycle Pluridisciplinaire d'Études Supérieures) program, a joint initiative between Université Paris-Saclay, Institut Polytechnique de Paris, and HEC Paris. This three-year program emphasizes cultural openness, collaborative project-based learning, innovation, and an introduction to research, with applications in health and society.
With a strong foundation in mathematics and computer science, I bridge technical expertise in data modeling with strategic thinking and societal impact. My diverse experiences, from statistical analysis at the French Ministry of Higher Education to building AI solutions for startups, reflect my commitment to leveraging data for meaningful innovation.
CPES Data Science, Society and Health
Prestigious three-year interdisciplinary program emphasizing data science applications in health and society, with increasing specialization and research introduction.
Digital Technology Architect | Level: Minishell Completed
Followed in parallel with the second year of CPES.
Peer-learning based computer science program focusing on C programming, Shell scripting, algorithms, and system architecture. Completed intensive Piscine bootcamp (4 weeks, full-time) ranked 4th out of 450 candidates.
French Baccalaureate with Highest Honours
Specializations: Mathematics and Computer Science (NSI)
Options: Advanced Mathematics, Italian, German, Ancient Greek
MonCab (HEC-incubated startup) | Station F / HEC Paris
September 2025 – April 2026
French Ministry of Higher Education and Research | Paris
June – August 2025
baby vc
March 2026 – Present
ENS Paris, Institut Louis Bachelier, Collège de France & Institut Gustave Roussy
Developed predictive models for overall survival in myeloid leukemia patients using clinical and genomic data. Applied survival analysis techniques, feature engineering, and rigorous model validation on real-world biomedical data.
View on GitHubHi! PARIS × Corporate Partners (L'Oréal, Capgemini, TotalEnergies, VINCI and Schneider Electric)
3-day intensive sprint using PISA dataset (1.7M students, 300+ variables). Developed XGBoost regression pipeline (RMSE 82.17) and designed AI-powered mental health solution connecting students, teachers, and counselors.
View on GitHubHi! PARIS Data Boot Camp | Best Scientific Approach Award
Predicted Remaining Useful Life (RUL) of aircraft engines using NASA C-MAPSS time-series sensor data. Combined data exploration, feature engineering, ML/DL techniques, and explainability methods (SHAP).
View on GitHubHEC Capstone Project | Station F
Built a documented Python pipeline to consolidate national healthcare datasets for MonCab. Delivered a geomarketing map and normalized data for the RAG assistant, along with UX/SEO analysis to support B2B acquisition.
2-Year Solidarity Project | LIPPS High School
Developed sustainable initiative to reduce academic stress using data from national surveys. Organized annual forums facilitating peer discussions and alumni exchanges on orientation and mental well-being.
École 42 Paris
Built shell interpreter, memory management systems, and algorithmic solutions in C. All projects peer-reviewed and tested by 3 students consecutively. Focus on low-level programming and system architecture.
Data Science & ML
System Programming
Database Management
Statistical Analysis
Data Modeling
Version Control
Scripting & Automation
Deep Learning, Neural Networks, NLP, Computer Vision
Native
C2 - IELTS 8.5/9
Bilingual
Limited Professional
Limited Professional
Basic
Institut de l'Engagement
October 2025 – Present
Selected as laureate for demonstrated commitment to social engagement and community impact.
Article 1 & ASTCommunity
September 2022 – Present (3+ years)
BDE CPES Paris-Saclay (Student Union)
July 2024 – January 2026