I am a Consultant in the South Asia Poverty unit at the World Bank. Previously, I interned in the Finance Department at the IMF. I am a certified Data Scientist with proficiency in machine learning, predictive analytics, data mining, distributed computing and natural language processing.
I recently received my PhD in Economics from American University. 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.
I have over 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 and human capital as well as international aid and economic growth.