Teaching
UC Davis Graduate School of Management
Operations Management, MGT-452
Program: Core MBA
Topics: Process analysis, capacity, queues, inventory, supply-demand matching, bottlenecks, quality, and operational tradeoffs.
This core MBA course teaches students how to analyze and improve the systems that produce and deliver goods and services. The course emphasizes operational decision-making under constraints, with applications to service operations, manufacturing, platforms, and supply chains.
Customer Analytics, MGT-443
Program: MBA
Topics: Customer segmentation, predictive modeling, customer lifetime value, acquisition, retention, churn, personalization, CRM strategy, and AI agents.
This course teaches students how to use customer-level data to make better marketing and growth decisions. The course connects statistical modeling, machine learning, and AI-enabled customer systems to managerial questions about which customers to acquire, retain, target, personalize for, and prioritize.
Big Data Analytics, BAX-423
Program: Master of Business Analytics, San Francisco
Topics: Apache Spark, Kafka, machine learning, deep learning, graph neural networks, large language models, and generative AI.
This course teaches students how to work with large-scale data systems and modern AI methods in business analytics. The course combines scalable data engineering with machine learning applications in text, networks, prediction, and generative modeling.
NVIDIA Deep Learning Institute
Certified Instructor
Previous Teaching
Kellogg School of Management, Northwestern University
Teaching assistant for Executive MBA and MBA courses:
- Marketing Analytics: Leading with Big Data
- Retail Analytics: Pricing and Promotion
- Decision Modeling and Optimization in Excel
- The General Rookie Manager
- Analytical Decision Modeling in Excel
- Applied Advanced Analytics
Georgia Institute of Technology
Teaching assistant for:
- Statistics and Applications
- Stochastic Manufacturing and Service Systems