I am an AI and Business Analytics Researcher specializing in AI-driven fraud detection, financial risk analytics, and compliance intelligence.
I earned my MBA in Business Analytics (STEM) from Midwestern State University, Texas, where my research explored how machine learning and big data can strengthen fraud prevention and financial resilience across the U.S. economy.

My published works include peer-reviewed journal papers and IEEE conference presentations on AI-enabled risk management systems, behavioral analytics for financial decision-making, and big data strategies in banking.

I also design interactive data dashboards and predictive models using Power BI and Python, drawing on real-world U.S. datasets from the FTC Consumer Sentinel Network, FBI IC3, and FDIC to uncover nationwide trends in fraud, cybercrime, and financial loss.

My ongoing research aims to advance data-driven policy design and fraud detection innovation, aligning with U.S. national priorities in cybersecurity, consumer protection, and economic integrity.