Eigi worked on the NobelNizam/buku_kating_bayessian repository, delivering a comprehensive data and asset refresh across multiple department records. Using Python and leveraging skills in content management and data entry, Eigi updated personnel directories to ensure accurate and consistent information, including personal details and resource references. The technical approach focused on cleaning and verifying department entries, improving both searchability and reporting readiness. Eigi also refreshed image and resource URLs to maintain up-to-date assets across departments. The work addressed data quality and asset governance, resulting in cleaner directories and more reliable cross-department collaboration, though the scope was limited to feature development without bug fixes.