Lead Administrator (Uncle Steve College) driving AI-assisted data collation and quality analytics dashboards
They developed automated dashboards and tracking workflows to collect, organize, and analyze operational quality measurements and errors. They used SQL and Power BI outputs to support executive reporting and decision-making. They are currently spearheading integration of AI tools to automate repetitive administrative data collation tasks. • Collected and structured operational quality measurements and error records for reporting. • Verified data quality by monitoring product quality metrics and operational error rates. • Produced daily and quarterly management reports using SQL/Power BI-derived datasets. • Designed AI-enabled workflows to reduce manual collation of administrative data.