ABOUMAJD AYOUB

I’m a Data Scientist and MLOps Engineer with a State Engineering degree (INSEA) and Microsoft DP-700 certification. I build machine learning solutions end-to-end—from raw data to production—across banking, insurance, and port logistics.

In my recent internship at Wafa Assurance, I built a unified analytical view of 1.6M customers on Dremio and designed a cross-sell model for Auto insurance. I trained and tracked models on Azure ML using MLflow, then automated monthly customer scoring with Apache Airflow to remove manual work for sales teams.

I also exposed model scores via a FastAPI service used by commercial teams, and monitored production quality with Evidently to detect data and prediction drift. My focus is MLOps and Data Engineering—pipelines that are reliable, automated, and monitored, not just accurate models.

Earlier, at Marsa Maroc, I developed a YOLOv8 computer vision model for container ID detection and built an OCR pipeline to extract container numbers. I complemented this with a real-time port operations platform (Angular front-end, Django back-end, MySQL), and I keep pushing this end-to-end mindset through my own Databricks MLOps pipeline project.