RafiBrent enhanced analytics metrics logging for the RosettaCommons/foundry repository, focusing on improving data quality and observability. Using Python and leveraging data cleaning and logging skills, RafiBrent refactored the metrics callback to skip logging metrics and columns containing only NaN values, which reduced log noise and clarified dashboard outputs. The work also included correcting a typo in the validation progress calculation, resulting in more accurate progress reporting. These targeted changes streamlined the logging process, making it easier to diagnose issues and trust reported metrics. The depth of the work addressed both technical accuracy and the maintainability of analytics infrastructure.