Skip to main content

Yamil Guevara, Ph.D.

Adjunct Faculty, Data Science

Yamil Guevara

Background

Dr. Yamil Guevara is an expert in the fields of artificial intelligence, machine learning, and data science. He holds an MBA and two master’s degrees in artificial intelligence and machine learning as well as economics. He received his first Ph.D. in Organization and Management and is working on his second Ph.D. in Computer Science with an emphasis on artificial intelligence.

In addition to teaching, he has eight years of experience working as a data scientist, developing machine learning models using classical machine learning and deep learning neural network (DNN) algorithms to solve business problems. Dr. Yamil Guevara has authored “How to Increase Online Student Retention Utilizing Machine Learning” (University of Arizona Global Campus Chronicle, 2021), “Dangers of Artificial Intelligence” (Medium, 2022), “The Impact of Artificial Intelligence on Society” (Medium, 2022), and “The Utilization of Artificial Intelligence in the Classroom” (University of Arizona Global Campus Chronicle, 2021).