Worked on the CombiRWTH/StaffScheduling repository to deliver two new features focused on enhancing scheduling accuracy and workforce analytics. Developed a scheduling command that enables solving multiple cases concurrently and exporting results in a structured format, streamlining planning and facilitating downstream data processing. Extended the employee visualization to include hidden actual working time, providing more detailed and accurate workforce representation. Leveraged Python for back end development and algorithm design, strengthening the data processing pipeline to support these enhancements. The work improved the integrity and usability of scheduling workflows, with an emphasis on scalable planning and enriched reporting capabilities for end users.