Developed a comprehensive analytics reporting feature for the sarapapi/hearing2translate repository, focusing on resilient handling of missing files and expanded output coverage. Leveraging Python programming, data analysis, and shell scripting, the work enhanced reporting reliability and ensured that results were consistently generated across a wider range of systems. The technical approach prioritized robust error handling, reducing pipeline failure modes and enabling faster incident diagnosis. By strengthening cross-system compatibility and improving the visibility of decision-useful metrics, the solution supported broader adoption of the analytics pipeline. No major bugs were reported during this period, reflecting a focus on reliability and maintainability.