Dr. Kwame Addey is an Assistant Professor of Business Analytics at Minnesota State University Moorhead. He holds a PhD in Statistics and an Ms. in Applied Economics from North Dakota State University. His teaching responsibilities and interests include predictive analytics, machine learning, big data analytics, risk analytics, financial times series, econometrics, probability theory, and all areas of business analytics.
A central focus of his research is the application of operations research and data science in the study of real-world problems with the aim of making better decisions. Specifically, his work employs analytical techniques, such as mathematical programming, machine learning, data mining, optimization and simulation, to formulate and solve problems in financial markets and business based on finance, economics and risk theory. In addition, Kwame has a special interest in Markov decision processes. His current research scholarship focusses on the implications of policy (fiscal/monetary) and financial market risks for business operations. Kwame is highly skilled in the use of SAS and R programming languages. His previous research has been published in top tier journals in the areas of finance and economics.
He has several years of teaching and research experience in higher education in the US. Dr. Addey is the founder and director of the Center of Operations Research and Data Science (CORDS), a free YouTube teaching channel.
Kindly visit his website for other aspects of his experience and interests not highlighted here (https://sites.google.com/view/kwameaddey/home).
