Business Analytics: Applications in Python (Undergraduate), FIU
Fall 2025 | Evaluation: 4.8/5 | Guest Speaker: Yilun (Allen) Wu, Senior Software Engineer (Amazon)Fall 2024 | Evaluation: 4.7/5 | Guest Speaker: Chengfang Duan, PhD, Senior Applied Scientist (Amazon)Spring 2024 | Evaluation: 4.7/5 | Guest Speaker: JIngyun Hu, PhD (Clemson University)Fall 2023 | Evaluation: 4.7/5 | Guest Speaker: Chi Zhang, Senior Software Engineer (Meta)Spring 2023 | Evaluation: 4.8/5 | Guest Speaker: Adrienne Sun, PhD, Applied Machine Learning Scientist (CVS)Explores data analysis and statistical methods as well as best practices for continuous iterative investigation of past business performance to gain insights and drive business planning.
Business Data Visulization and Reporting (MBA), FIU
Spring 2025 | Evaluation: 4.9/5Spring 2024 | Evaluation: 4.5/5Spring 2023 | Evaluation: 3.9/5Recognition of High Quality Course Designation
Introduction to reporting and data visualization principles and techniques to support business decision-making and information reporting needs utilizing operational, accounting and financial data.
Business Analytics II: Applications in Python (Undergraduate Required Core), UIUC
Fall 2021 | List of "Teachers Ranked as Excellent" | Evaluation: 4.46/5 "overall teaching effectiveness" Spring 2020 | Evaluation: 4.5/5 "knowlege of the subject"; 4.56/5 "well prepared for classes"A practical introduction to various techniques regarding clustering, text mining, classification and decision trees, and time series analysis; uses statistical tools and software applications in Python to identify business problems, acquire relevant data, and generate analytic solutions using advanced analytics techniques and tools for generating insights.
Business Analytics I (Undergraduate Required Core), UIUC
Fall 2020 | List of "Teachers Ranked as Excellent" | Evaluation: 4.45/5 "overall teaching effectiveness"; 4.91/5 "knowlege of the subject"; 4.77/5 "answer questions clearly and concisely"; 4.68/5 "make good use of examples and illustrations"An introduction to basic knowledge of statistics, distributions, and linear regressions in a business setting. Students will be able to perform and understand the use of basic statistical methods in generating inferences and modeling including hypothesis testing and multivariate regression.
Teaching Assistant, Process Management (MSA Required Core), Summer 2019, UIUC
Introductory course in decision-making problems in production; includes the theoretical foundations for production management as well as the applications of decision-making techniques to production problems in the firm; and considers production processes, plant layout, maintenance, scheduling, quality control, and production control in particular.
Teaching Assistant, Statistics for Management Decision Making (MSTM Required Core), Summer 2018, UIUC
The course aims to cover statistical ideas that apply to managers; considers two basic themes: first, is recognizing and describing variations present in everything around us, and then modeling and making decisions in the presence of these variations.
Yifeng Ruan, Florida International University — Current PhD Student
Thesis committee member and research supervisor
Jingyun Hu, Clemson University — PhD, 2025
Thesis committee member; referee and co-author
Chunjie Zhao, Clark University — PhD, 2025
Referee and co-author
Eunyoung Kim, Florida International University — PhD, 2024
Research supervisor