I like analyzing messy data and turning it into something people can act on.
- Credit Card Fraud Detection — comparing logistic regression, random forest, and XGBoost on imbalanced data (XGBoost won: 87% recall, 70% precision)
- Texas Layoff Notice (WARN) Dashboard — cleaning and analyzing 2,000+ notices across 5 years, with county-level and time-series trends
- Evaluating the Accuracy of 3 LLMs at Extracting Data from Audit Reports
I'm also interested in building AI powered workflows for real work.
I'm a CPA and I managed data-intensive legislative audits in Texas — designing samples, testing claims and expenditure data, and turning the analysis into published findings, including audits of health insurance companies in the Medicaid program. I also managed the financial reporting, desk reviews, and reimbursement processes for large government programs in Louisiana.
- A Comprehensive Forensic Audit at the Texas Civil Commitment Office
- An Audit Report on Healthcare Services at the Juvenile Justice Department
- An Audit Report on Blue Cross Blue Shield of Texas, a Managed Care Organization
- An Audit Report on Medicaid Managed Care Contract Processes at the Health and Human Services Commission
A couple of these projects grew into something bigger. Like a dashboard of AI-summarized Medicaid audit reports published throughout the US, and a case study on automating program management and audit workflows with AI.
I built this one for my brother's training business.
I write articles about using AI to help with government workflows and sometime record videos.
Contact
If you want to talk about AI workflows, audit automation, Medicaid reporting, or a project idea, email me at contact@scottlabbe.me.
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