I help business students translate organizational questions into technical work and judge whether the results support a sound decision. In my courses, I make expert reasoning visible through worked examples, move students from guided practice to independent work, and teach them to verify what analytical and AI tools produce.
Database Management
Business Analytics (Python, data mining, machine learning, deep learning, data visualization)
Business Intelligence
AI in Business, including generative AI and AI agents
Natural Language Processing for Business
Information Systems Analysis and Design
Data-Driven Decision-Making
IS 4420: Database Fundamentals (Undergraduate), University of Utah, Spring 2026
43 students | Instructor effectiveness: 5.3 / 6.0
- Data modeling with entity-relationship diagrams, relational database design, and SQL for business applications. Each lecture was paired with an in-class lab in which students moved from following a demonstration to solving new problems on their own, and all labs were recorded for review.
Digital and AI Transformation for Organizational Competitiveness (MBA), University of Utah, Summer 2026
Information Technology for Organizational Competitiveness (MBA), University of Utah, Summers 2024 and 2025
- Led recorded online technical labs on databases, data mining, machine learning, large language models, and AI agents for MBA students without technical backgrounds.
Quantitative Decision-Making Methods for Managers, 2016
Application of Decision-Making Theory in Management, 2016
Productivity Analysis in Organizations, 2015
Excerpts from IS 4420 course evaluations, Spring 2026:
“He did a phenomenal job explaining the concepts and was able to transmit a lot of information in an understandable and applicable way.”
“The mixture of lectures and labs helped me understand the content through real-world applications.”
“I was always encouraged to reach out with any questions.”