Teaching

At IIT Jodhpur

1. Machine Learning for Economics (PhD level)                                

(Topics include Tree-based algorithms, decision trees, random forest, conditional inference trees and forests, family of penalized regressions, double/debiased lasso, causal forest, post-selection inference techniques and economic applications)

2. Econometrics  (PhD level)                                          

3. Theoretical Foundations of Econometrics (Masters and PhD level) 

4. Advanced Econometrics (Masters and PhD level)

5. Foundations of Data Science (Executive Program)

At Western Michigan University

Instructor                                  

Principles of Microeconomics          

Graduate Teaching Assistant            

Principles of Macroeconomics,

Econometrics,

Exploring Economic Data,

Environmental Economics,

Economic Development.