I am a seasoned macroeconomist with extensive experience in government policy, central banking and macroeconomic policy, including my current role at the World Bank. My expertise spans macroeconomic policy analysis, public financial management, econometric modeling, and financial econometrics, with a strong foundation in Bayesian statistics and data science. I had an extensive career at the Reserve Bank of India (RBI), where I contributed to policy formulation and economic analysis.

With a proven track record in statistical data analysis, economic policy research, applied econometrics and AI, I have contributed to key policy reports, data-driven insights, and advanced research in monetary and fiscal policy, public finance, and international economics. My work integrates cutting-edge quantitative techniques with real-world policy applications, helping shape economic decision-making at national and global levels.

I am motivated to work towards policy-oriented research, with a focus on advancing practical, data-driven economic solutions. My PhD research involves the Bayesian Estimation of Dynamic Stochastic General Equilibrium (DSGE) Models, which aims to provide deeper insights into macroeconomic dynamics, inform policy decisions, and improve the understanding of economic fluctuations. Through this work, I strive to contribute to evidence-based policy formulation that addresses real-world economic challenges. My areas of specialization are Macroeconomics, Econometrics, Public Finance, International Finance, Labor Economics and Monetary Economics,.

I hold a Ph.D. in Economics with a minor in Statistics from Iowa State University. Prior to that, I earned a Master’s degree in Economics, and also a Bachelor’s (Honors) degree in Economics from Miranda House, University of Delhi.