ACE 592 SAE: Data Science for Applied Economics

Instructor, University of Illinois at Urbana-Champaign, 2021

The goal of this course is to teach students in applied economics how to use data science tools and workflow for answering questions in economics. The course is taught in the Python programming language and covers unstructured data processing (text and image), data visualization, and basic machine learning algorithms.

ACE 456: Agricultural and Food Policies

Instructor, University of Illinois at Urbana-Champaign, 2021

Analysis of agricultural and food policies and programs and their effects on producers and consumers of agricultural products. Formulation of agricultural and food policies are examined with an emphasis on historical and current economic problems affecting agriculture and rural America.

AAE 875: Special Topics in Data Analytics

Guest Speaker, University of Wisconsin - Madison, 2019

  • Prepared teaching material for two hour instruction on bash basics, cloud computing, and SQL.
  • Material covered data cleaning and manipulation with pandas, numpy, and matplotlib

Small Ruminant Animal Husbandy and Herd Health

Instructor and Facilitator, Shepherd's Cross with Njala University, 2019

  • Taught two days of in-class instruction on small ruminant management, nutrition, and health.
  • Facilitated village discussions on applying husbandry practices to the village‚Äôs flock of sheep.
  • Oversaw 6-7 undergraduate students from Njala University who aided and oversaw instruction.

AAE 322: Commodity Markets

Teaching Assistant, University of Wisconsin - Madison, 2017

  • Taught four weekly discussion sections.
  • Developed handouts and practice problems for all the discussion sections.
  • Graded homeworks, exams, and analysis projects.