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 data workflows. Collaborated with a dedicated MLOps team, contributing to AWS-based projects using SageMaker, and supporting infrastructure for ML model deployment. Led a multi-region data sharing project using Snowflake, coordinating with teams in France and the UK and 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 closely with the Risk team 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.

Implementation and optimization of a recommendation system for banking products for Crédit Agricole Ile-De-France customers:

Application of collaborative filtering and matrix factorization methods.

• Conducted customer profile studies and segmentations using Clustering methods for the Marketing teams.