Sana Ramzan is an accounting professional with experience as an accounting expert and also has several years of experience in teaching accounting courses such as Financial Information for Marketing, Business Computer Applications, Microcomputer Applications in Accounting, Intermediate Accounting, Management Accounting, Financial Accounting, Bookkeeping etc. Currently, Sana Ramzan works as an accounting and payroll instructor in two colleges in Vancouver; Vancouver Premier college and CDI college.

Sana Ramzan’s research interests include the impact of artificial intelligence in the accounting field where she will investigate how artificial intelligence will impact accounting conservatism and audit quality using machine learning and python. She will investigate this by analyzing financial ratios of profitability, solvency and liquidity using python and machine learning capabilities. Her research aim is to deepen her understanding about the changes machine learning capabilities will have on prediction and analyses of fraudulent activities of companies. Additionally, she also wants to examine how machine learning with python will help eliminate and reduce the manipulation of financial statements while increasing accounting conservatism and audit quality. The findings found in this research will help various accounting firms especially the Big Four to incorporate machine learning capabilities in their accounting processes and increase their overall audit quality.

Sana holds a Master of Science in Business Administration from the American University of Sharjah of United Arab Emirates (2018). Sana has presented a research paper, Accounting Conservatism and Audit Quality, in ISER 194th International Conference and successfully published it in the IJMAS journal. She has also published another research paper, Leveraging Big Data and IoT technology into Smart Homes, in the IJSRP journal.

BSc, MSc