Worked on the Global Exposure Model (GEB) repository to enhance data quality and standardization of geographical names, focusing on improving consistency across the data catalog and dictionary. Used Python for data modeling and geographical data handling to implement and validate a feature that normalized location names, including mapping Vaduz to Valduz and correcting Luzern to Lucerne and St. Gallen to Sankt Gallen. These changes improved the accuracy of location-based analytics and reduced ambiguity in user-facing reports and dashboards. Demonstrated end-to-end traceability through targeted commits, supporting quality assurance, collaboration, and deployment readiness within the GEB-model/GEB codebase.