Joshua Kiesel enhanced the Global Exposure Model (GEB) by developing a feature that standardizes and improves the quality of geographical names within the GEB-model/GEB repository. Using Python, he implemented data modeling techniques to normalize location names, such as mapping Vaduz to Valduz and correcting Luzern to Lucerne and St. Gallen to Sankt Gallen. His work focused on ensuring consistency across the data catalog and dictionary, which supports more accurate location-based analytics and user-facing reporting. The changes were validated through traceable commits, demonstrating attention to data quality and deployment readiness, and reflecting a methodical approach to geographical data handling.