Summary
Ala Bayoudh is a Data Engineer with eight years of experience building production data pipelines and machine learning workflows across finance and insurtech in the Greater Paris area. Currently at SFEIR, he architects GCP-based solutions using DataFlow (Apache Beam), BigQuery, Composer/Airflow, Terraform and dbt, and has a track record of migrating legacy processes to Python and operationalizing models. He also teaches NLP to engineering students, reflecting a strong blend of hands-on engineering, mentorship, and research-minded curiosity. Past roles include industrializing early-warning credit models at Crédit Agricole CIB and delivering data-driven features for EB Partners/AXA, where he combined technical leadership with client-facing specification and production management. Comfortable across the ML lifecycle—from feature engineering and model deployment to infra-as-code—he brings pragmatic automation skills and a focus on scaling data products.
8 years of coding experience
3 years of employment as a software developer
1 preparatory year, physics and chemistry, 1 preparatory year, physics and chemistry at Université de Tunis El Manar
DATA SCIENCE ENGINEERING | 09.2014-06.2019, Technologies de l''information, DATA SCIENCE ENGINEERING | 09.2014-06.2019, Technologies de l''information at Ecole Supérieure Privée d'Ingénierie et de Technologies - ESPRIT
BACCALAUREATE, BACCALAUREATE IN MATHEMATICS| 09.2009-07.2013, 14.5, BACCALAUREATE, BACCALAUREATE IN MATHEMATICS| 09.2009-07.2013, 14.5 at lycée kharedine bacha
Data science for actuarial science, Finance, général, Data science for actuarial science, Finance, général at Institut du Risque et de l’Assurance du Mans
French, English, Arabic