Brenda contributed to the tadamaen/DSA3101-Group-Project-Group-3 repository by addressing data quality issues in the USS Customer Satisfaction Analytics project. She identified and corrected a discrepancy in the Net Promoter Score, ensuring that reported metrics accurately reflected customer feedback. Using Python and her data analysis skills, Brenda updated descriptive metrics and validated the downstream impact of these changes to maintain data integrity across analytics pipelines. She also completed a targeted code review, providing actionable feedback to improve reliability and clarity for stakeholders. Her work focused on metric accuracy, auditability, and supporting data-driven decisions for customer experience initiatives.