Developed and delivered geofence-based filtering for Grafana charging statistics within the teslamate-org/teslamate repository, enabling users to segment and analyze charging data by geographic location. This feature was implemented using Elixir for backend logic and SQL for efficient database querying, enhancing the Grafana integration to support location-based analytics. The work addressed the need for more granular insights into charging behavior and infrastructure planning by allowing filtering of statistics based on geofenced areas. All changes were traceable through commits linked to a specific issue, ensuring auditability and maintainability. The contribution focused on backend development and data visualization enhancements.