Teja Konduri

Cohort Year: 2019

Advisors: Christiane Baumeister (Chair), Jeffrey Campbell, Jeroen Dalderop

Job Market Paper Title: Forecasting Macroeconomic Variables: A Systematic Comparison of Machine Learning Methods

Research Interests: Energy Economics, Time Series, Forecasting, Monetary Policy

Teja Konduri is a Data Strategy Postdoctoral Fellow at the Graduate School and the Division of Student Affairs at the University of Notre Dame. He received his Ph.D. in Economics from the Department of Economics at the University of Notre Dame in June 2024. Teja's primary research interests include Applied Macroeconometrics, Time Series, and Forecasting using Machine Learning Methods. In the summer of 2023, he interned as an Economist at Amazon Supply Chain Optimization Technologies (SCOT).

Before his graduate studies at Notre Dame, Teja worked as a Research Associate in the Economics area at the Indian Institute of Management, Bangalore. He holds an M.S. in Quantitative Economics from the Indian Statistical Institute’s Delhi Center, which he completed in May 2017.