نبذة عني
Data Scientist with a double engineering degree from ENSAI Rennes (Data Science) and ENSAE Dakar (Statistics & Economics), I combine a rigorous background in statistics and econometrics with practical experience in ML mo…
Data Scientist with a double engineering degree from ENSAI Rennes (Data Science) and ENSAE Dakar (Statistics & Economics), I combine a rigorous background in statistics and econometrics with practical experience in ML modelling and production deployment. I designed and industrialised full ML pipelines at Little John (insurtech, Rennes) and conducted applied research at CREST-ENSAI. Available immediately.
الخبرة
ML Engineer & Data Scientist
Fine-tuned Skywork-Reward-V2-Qwen3-0.6B (0.6B params) on an insurance document corpus (certificates, claims, passports, bank details...) Achieved 86.4% accuracy vs 74.1% for GPT-4o-mini Built a model 15× smaller with local sovereign deployment Improved inference speed to 1.76 s/doc vs 3.78 s/doc Achieved F1-score of 85.3% vs 70.3% Built a full training pipeline (JSONL), stratified split, and published it on HuggingFace Hub Designed a multi-agent AI architecture using Pydantic AI Created YAML business templates per broker module Used AG-UI for real-time agent-broker interaction Parallelised execution via Ray Exposed services with Ray Serve Reduced processing time from 1 week to under 1 hour Built an ingestion pipeline via Azure Document Intelligence (OCR) to structured JSON and Azure Blob Storage Developed a RAG system with ChromaDB vector store and OpenAI embeddings Implemented a multi-model fallback Industrialised the solution with Docker, CI/CD, FastAPI, Logfire monitoring, and GDPR compliance
Research Intern — Machine Learning
Applied Topic Modeling (LDA) for automatic classification of technical skills Performed text preprocessing Built reproducible pipelines Conducted econometric modelling of the skill–wage relationship Used cross-validated feature selection Produced methodological reports Presented results to an academic audience Received the highest grade of the cohort for methodological rigour and originality
Statistical Studies Officer & Platform Developer
Developed and deployed an HR/recruitment management platform Improved process efficiency by 30% Exploited and structured large administrative databases Automated data processing workflows Produced institutional statistical indicators and reports
Statistics Consultant
Performed econometric analyses for impact evaluation studies using panel data, regression, and causal inference Cleaned and structured survey data Produced statistical reporting Drafted technical notes and reports for institutional and international clients
المشاريع
Consulting Company activity analysis
Analysis the activity of the company in terms of recruitment, to know entries and outs of employees using classic time series (ARIMA, SARIMA) and Facebook prophet package (2017).