Priya Gupta focused on improving data quality in the sdss/sdssdb repository by addressing formatting issues in a key CSV file. She applied data cleaning and file formatting skills to remove a trailing semicolon, extraneous spaces, and an empty line from aqmes-dark_10x4-regular.csv, ensuring cleaner and more reliable data for downstream users. Working directly with CSV data, Priya’s targeted bug fix reduced parsing errors and minimized the need for manual intervention in data ingestion pipelines. Her contribution, though limited in scope, demonstrated attention to detail and a practical approach to maintaining data integrity within the repository’s existing workflows.