Hind Bousta

Worked across international data teams (France, Spain, UK) to design, build, and optimize cloud based data infrastructure. Developed and maintained ETL pipelines using Azure Data Factory, integrating data into Azure Synapse Analytics for the French data platform. Supported the Spanish team's migration from Sybase IQ to Snowflake, using Matillion and AWS services (Lambda, S3, IAM) for modern dataworkflows. Collaborated with a dedicated MLOps team, contributing to AWS-based projects using SageMaker, and supporting infrastructurefor ML model deployment. Led a multi-region data sharing project using Snowflake, coordinating with teams in France and the UKand managing a small team of engineers. Gained hands-on experience across both Azure and AWS ecosystems, working at the intersection of data engineering, platform architecture, and MLOps.

Prepared and structured risk-related data for analysis, working closelywith the Riskteam to support credit scoring and fraud monitoring. Collected, cleaned, and transformed data using SAS and Python to support business analysis and model evaluation. Built interactive dashboards in Tableau to monitor fraud, loan requests, and processing performance.

Mise en place et optimisation d’un système de recommandation pour les

produits bancaires pour les clients du Crédit Agricole Ile-De-France:

Application des méthodes de filtrage collaboratif et de factorisation matricielle.

• Réalisation d’études de profils clients et segmentations à l’aide de méthodes Clustering pour les équipes du Marketing