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