Teaching

Florida International University

 Instructor, Business Analytics: Applications in Python (Undergraduate), FIU

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. 

 Instructor, Business Data Visulization and Reporting (MBA), FIU

Recognition 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.

Gies College of Business, UIUC

 Instructor, Business Analytics II: Applications in Python (Undergraduate Required Core), UIUC

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. 

Instructor, Business Analytics I (Undergraduate Required Core), UIUC

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.