Jobiglo

No results.

Unlock this candidate profile

Sign up free as a recruiter to view the full CV, contact info and reach out to this candidate.

?

5 years of experience

Skills

Python SQL scikit-learn XGBoost Random Forest ElasticNet PyTorch TensorFlow Keras Spark Hadoop Kafka Flask Docker Agile/Scrum

Experience

Data Scientist

Haut-Commissariat au Plan (HCP), Rabat

2025-05 -

Sole developer for several strategic systems at Morocco's national statistics institute. Shipped a nomenclature code‑matching API (Python, Flask) reducing response time from ~3 s to ~1 s and now in production. Built a nowcasting engine for cereal‑production estimates using satellite and climate indices (NDVI, EVI, CHIRPS, ERA5) combined with Random Forest, XGBoost and ElasticNet models. Designed and implemented an enterprise electronic document‑management platform (.NET/C#, Blazor) serving ~30 users with full‑text search, role‑based access, audit logging and OnlyOffice co‑editing. Created a configurable workflow engine and internal tooling including a CPM‑based project‑planning module and a UML modeling suite with code generation. Led acceptance testing for the National Labour Force Survey, authored user manuals and delivered training to supervisors and field enumerators.

Data Scientist – Final‑Year Project – 3D Smart Factory (R&D)

Mohammedia

2024-02 - 2024-06

Solo R&D project focused on 3D deep‑learning segmentation for cerebral‑aneurysm detection on medical meshes. Adapted the SGTNet architecture to a multi‑GB proprietary dataset, achieving ~94 % segmentation accuracy. Developed a mesh preprocessing pipeline (noise reduction, normalization, smoothing) that significantly improved model performance. Conducted extensive experiments, documented results, and presented findings to the research team.

Languages

English

fluent

French

fluent

Contact candidate

Last updated: 21 hours ago