Engineering student at INSEA, specialising in Statistics and Big Data. Passionate about quantitative analysis
and predictive modelling, open to opportunities where technical skills meet strategic consulting
and data-driven decision support.
Education
Institut National de Statistique et d'Économie Appliquée (INSEA)2024 – Present · Rabat
Engineering Degree — Statistics, Demography & Big Data
Classes Préparatoires aux Grandes Écoles (CPGE)2022 – 2024 · Kenitra
Built an end-to-end AI pipeline scraping 1,500+ Google Maps reviews (8 banks, 8 cities) via Playwright + Airflow,
transformed with DBT, and enriched with multilingual BERT sentiment analysis (88.4% accuracy).
Deployed a RAG chatbot (ChromaDB) and autonomous multi-tool agent (Groq LLaMA-3.3-70b) generating consulting
reports on Chainlit. Key finding: 78% negative reviews – waiting time & staff as top drivers.
Stress Test Solvency II — MASI/OAT Risk Assessment (Morocco)
Modelled market dependence using Gaussian Copulas & EVT-GPD; demonstrated that standard normal distributions underestimate tail risk by 40%.
Calculated Solvency Capital Requirement (SCR) under equity (-49%) and rate shocks (+42%), identifying a 54M MAD deficit.
Optimized asset allocation using Random Forest + SHAP, recommending a 25% MASI exposure (a 10x more cost-effective solution than capital raising).