Sana Ramzan

I am a dedicated researcher, educator, and financial expert with a strong foundation in accounting, artificial intelligence, and business analytics. With a Doctorate in Business Administration (DBA) from Royal Roads University and extensive experience in academia and industry, my work revolves around machine learning applications in financial distress prediction, fraud detection, and AI’s impact on financial markets. My research has been published in high-impact journals, and I have presented at numerous international conferences, contributing to the growing intersection of AI and financial regulation.

In my academic roles, I have served as a Sessional Faculty at multiple institutions, including the University of Fraser Valley and University Canada West, where I have taught courses in Financial Accounting, Business Analytics, and Digital Transformation. Additionally, as a Research Analyst at Royal Roads University, I have conducted extensive studies on AI-driven risk assessments, fraud detection frameworks, and financial forecasting models. My industry experience includes roles as a Senior Marketing Consultant at The Acquisition Group and an Accountant at Sheikha Textile L.L.C., where I applied data-driven decision-making to optimize financial strategies.

With a strong publication record, including studies on AI’s role in financial distress prediction, accounting fraud detection, and audit quality, I am passionate about leveraging technology to enhance financial transparency and regulatory compliance. My expertise in machine learning, financial modeling, and business strategy allows me to bridge the gap between research and real-world application. I am committed to advancing knowledge in the field while fostering a learning environment that equips students and professionals with the analytical skills needed for the future of finance.