Samia Akter

I work as a Business Analytics researcher and in the banking field. My focus is on using AI to detect fraud, analyze financial risks, and support data-driven decisions in finance. I earned my MBA in Business Analytics from Midwestern State University in Texas. My research looked at how to use machine learning and predictive analytics to improve fraud prevention and make the U.S. financial system more stable.

My research consists of peer-reviewed papers and IEEE conference presentations concentrating on fraud detection driven by AI, financial risk analysis, and forecasting business failures. I have performed research utilizing U.S. financial and regulatory datasets, such as those from the FDIC, CFPB, BLS, and SBA, to examine patterns of fraud, financial behaviors, and trends in economic risk.

I develop data-driven analytical solutions using Python, SQL, and Power BI to create predictive models and visualize financial insights. My work focuses on transforming large-scale financial data into actionable intelligence that aids in risk assessment, fraud prevention, and informed decision-making.

My research is focused on developing AI frameworks for fraud detection and financial risk management. The goal is to enhance financial security, improve transparency, and foster a more resilient, data-driven financial system in the United States.