Payment Ingestion QC & Finance Mart
Built a SQL pipeline and Tableau dashboards surfacing late-payment patterns across 500K+ transaction records, cutting manual reporting time 60%.

I spent some years doing compliance work in a highly regulated tax environment, I was the go-to technical data person there, using SQL and Tableau to support our tax compliance reporting.
I build projects that answer real business problems such as operational optimization, fraud detection, customer analytics, and live monitoring systems. Each project demonstrates my curiosity.
Built a SQL pipeline and Tableau dashboards surfacing late-payment patterns across 500K+ transaction records, cutting manual reporting time 60%.
Built time-series demand models to forecast passenger volume and identify seasonal trends; conducted ACF/PACF diagnostics to validate forecast accuracy.
I spent some years doing compliance work in a highly regulated tax environment, I was the go-to technical data person there, using SQL and Tableau to support our tax compliance reporting.
I work in SQL, Python, R, Tableau, and Power BI, focused on making sure data is correct before anyone acts on it. Payment Ingestion QC & Finance Mart (SQL, Tableau): built a pipeline reconciling 500K+ transactions, flagging late-payment exceptions via dashboards instead of a month-end scramble. Cut manual reporting time 60%. Financial Compliance Automation (Python, XGBoost, Isolation Forest): built an anomaly-detection pipeline scoring transactions on real risk instead of fixed thresholds for AML/KYC review. Cut manual review time 58%, false positives 41%.
Experience
Financial Analyst (Volunteer)
International Sibling Society · Sep 2025 – May 2026
Graduate Teaching Assistant
California State University, East Bay · Jan 2024 – May 2024
Data Analyst
Federal Inland Revenue Service, Lagos, Nigeria · Oct 2020 – Aug 2023
Database Administrator
Federal Ministry of Health and Social Welfare · Oct 2019 – Dec 2019
Education
California State University, Hayward, CA
M.S. Business Analytics · Class of 2025
Swansea University, UK
B.Sc Economics · Class of 2018
Skills
Built a SQL pipeline and Tableau dashboards surfacing late-payment patterns across 500K+ transaction records, cutting manual reporting time 60%.

Built time-series demand models to forecast passenger volume and identify seasonal trends; conducted ACF/PACF diagnostics to validate forecast accuracy.
