Worked on the Ten_Funding repository to enhance data integrity for the AngelsUSA dataset, focusing on improving analytics and reporting reliability. Addressed schema consistency by standardizing data keys, updating fields such as “stage” to “stages” and “sector” to “sectors,” which reduced schema drift and streamlined downstream data processing. Applied minor copy edits to the “companyoverview” field, ensuring business descriptions were accurate and clear. All updates were consolidated into a single, traceable commit, supporting robust version control. Utilized JavaScript and frontend development skills to implement these changes, ultimately raising data quality and reducing manual correction efforts for business intelligence workflows.