I am a Consultant in the South Asia Poverty unit at the World Bank. I have four years of experience in international development. Previously, I interned in the Finance Department at the IMF. I am also a certified Data Scientist with proficiency in data mining, machine learning, predictive analytics, distributed computing and natural language processing.
I received my PhD in Economics from American University in 2019. I completed my MS in Resource Economics with concentration in Applied Econometrics (cum laude) from University of Massachusetts Amherst in 2015 and a B.A. in Economics (cum laude) and Mathematics from Williams College in 2013.
During my graduate school, I accumulated six years of expertise in economic modeling, as well as management, visualization and econometric analysis of household survey, census and administrative data. My research agenda focuses on issues related to poverty, human capital, aid and economic development.