Worked on refining metric reporting within the xupefei/spark repository, focusing on the PythonSQLMetrics module to enhance clarity and precision in analytics outputs. Addressed SPARK-51323 by refactoring metric presentation strings, specifically removing redundant 'total' labels to reduce confusion in dashboards and improve data readability for business users. The approach involved targeted code cleanup using Scala and Python, adhering to established project conventions and review processes. This change improved maintainability and set a foundation for future metric-driven enhancements. The work demonstrated attention to detail in data processing and contributed to more efficient validation and interpretation of SQL-related metrics across the project.