HTML version · Updated July 2026
Ibrahim Youssouf Abdelatif.
Junior Data Scientist · Applied AI
M2 Data Science student at Paris-Dauphine and Agentic AI Data Scientist Intern at BNP Paribas. Mathematical foundations, stakeholder-facing data science and end-to-end AI system delivery.
Work with a decision context.
Apr — Sep 2026
Agentic AI Data Scientist Intern
BNP Paribas — Data Office Europe Mediterranean
- Experimenting with agentic AI solutions and evaluating internal LLM infrastructure for reliability, performance and business fit.
- Framing use cases across business, IT, privacy and model-evaluation constraints from feasibility to deployment.
- Building agent workflows on the group’s internal LLM platform.
Jun — Sep 2025
Data Scientist Intern
Deloitte Chad
- Built ARIMA and Prophet forecasting workflows for 2026 budget projections, reporting a 12% MAPE reduction against the prior approach.
- Created Power BI reporting that reduced manual processing time by a reported 14%.
- Worked with finance and IT stakeholders to translate business needs into analytical specifications.
Oct 2024 — May 2025
Junior Researcher — Non-linear dimensionality reduction
Paris-Dauphine University — PSL
- Compared linear PCA and Kernel PCA on high-dimensional datasets.
- Implemented reproducible evaluation and latent-space visualisation workflows in Python.
Applied mathematics to AI systems.
2025 — 2026
M2 Statistical & Financial Engineering — Data Science
Paris-Dauphine University — PSL
2024 — 2025
M1 Applied Mathematics — Statistics
Paris-Dauphine University — PSL
2021 — 2024
BSc Applied Mathematics
University of Strasbourg
Data Science
Python, Pandas, NumPy, scikit-learn, XGBoost, R, SQL, time series and clustering.
Applied AI
RAG, LangGraph, FastAPI, Pydantic, model orchestration, structured evaluation and human review.
Delivery
Docker, Git, React, Next.js, R Shiny, Cloud Run, Vercel, Power BI and reproducible reporting.
Languages
French & Arabic — native · English — C1 fluent