Worked on the NobelNizam/buku_kating_bayessian repository to deliver a comprehensive data and asset refresh across multiple department records, focusing on improving personnel data accuracy and ensuring consistent resource references. Leveraged Python for content management and data entry tasks, updating global department directories with verified personal details and cleaning entries to enhance searchability and reporting readiness. Updated resource URLs across several departments to maintain asset integrity and up-to-date references. Emphasized data management best practices by reinforcing cross-department collaboration and asset governance, resulting in cleaner directories and more reliable resource links. No bug fixes were recorded during this period, focusing solely on feature delivery.