Before earning PhD in Economics from University of Kansas in 2011, MathEconTutor worked as a Web development programmer in Tokyo for a short period of time after receiving B.A. in Economics from the U.S. university. He specializes academically in microeconomics, and applied econometrics, statistics. In recent years, he has a keen interest in the AI/machine learning industry, practice, and teaching of big data. On top of his numerical computation skills in R, and Python, he has been honing the software development skill through learning all the popular web development programming languages and the system. A few years later MathEconTutor was born in Hawaii, his family moved to Japan where he spent his life until high school. After receiving his Bachelor's degree from University of Kansas, he spent a few years as an Economics PhD candidate before going back to Japan and spent a few years working as a web developer in 2005 when programmers are still scarce. During the graduate program, he worked as an instructor for introduction to intermediate, business economics courses, and a research assistant where he gained the valuable high numerical, statistical computational skill in through projects that led to the publication of several economics journals and articles in the book. He also has a few publications as a lead author. Not only he simply likes to learn new things, different fields, he realizes that having a broad understanding of science field is important to find the interesting and marketable applications through the study of artificial intelligence and machine learning. He hopes to find the business opportunity in the application of AI and machine learning somewhere in some fields not limited to economics or finance areas in some near future.