AI-Assisted Data Quality & Reporting Workflow
Implemented Python, SQL, reporting, and controlled AI integration
Operational records require repeatable validation, trustworthy metrics, usable reports, and safeguards around AI-assisted narrative drafting.
Built deterministic data generation, ordered validation, transactional SQLite analysis, Excel and HTML reporting, and structured AI claim controls.
Processed 900 synthetic records, reconciled 66 injected defect events and 10 SQL metrics, and passed 93 automated tests.
A structured Responses API draft passed automated checks and received a separate recorded human approval.
Self-directed project using fictional data; no client deployment, production AI use, enterprise scale, or measured organizational impact is claimed.