Nesrine M.

Optimization of customer data collection and management, by implementing more reliable and automated processes.

Creation of standardized procedures to improve the quality, speed, and traceability of data collection.

Collaboration with accounting teams and clients to harmonize information transmission and reduce errors.

Implementation of monitoring indicators (KPIs) to measure the performance of collection and processing processes.

Participation in the digitalization of the firm, with a data-oriented and automation approach.

Preparation of preliminary documentation before the assignment. Preparation of data for audit teams (sampling and queries). Production of Power BI reports and dashboards for activity steering (schedule and budget management) or for assignment support (assignment portfolio query). Data science project applied to audit: Clustering of bank branches based on performance indicators (Python/SQL/PBI). Data analysis project: Segmentation of branches with predetermined conditions (Python/SQL/PBI).