BSc Accounting · Audit, KPMG · MBA Finance · MS Data Analytics & Visualization
Data analytics, finance, and research administration professional working at the intersection of audit, AI, and fraud/anomaly detection.
🔬 Research interest: Equitable, explainable AI for financial oversight and accountability — bridging audit and anomaly detection across public and private institutions.
- R&D Evidence Framework for the NSF HERD Survey — a five-level evidence hierarchy for classifying sponsored awards as R&D, built for Morgan State's Office of Research Administration. ▶ Live interactive classifier
- The GRA Framework — my original Gap–Risk–Accountability framework for AI-enabled research analytics, presented at the Research Analytics Summit (REACH) 2026. ▶ Live interactive demo
- Payment Data Pipeline (AWS) — end-to-end AWS data engineering pipeline (S3, Glue, Lambda, Athena) for payment fraud and compliance analytics.
- Credit Card Fraud Analysis — R analysis of ~1.85M transactions profiling fraud patterns across merchants, geography, demographics, and time.
Fraud & Anomaly Detection · Financial Analytics · Equitable AI · Research Analytics · Audit & Compliance
📫 LinkedIn · Morgan State University