I am interested in solving problems using a data-driven approach. I graduated from the Master's program in Applied Statistics at Cornell University in May 2020. I earned my doctorate degree in Macroeconomics in 2015 and while working in a policy think tank, decided to return to graduate school to learn advanced Statistics and Machine learning to generate insights and impact on real-world problems. I bring a combination of mathematics, economics, and statistics background which gives me the foundations and perspective to tackle challenges with rigor and clarity.

I am looking to work in a collaborative environment where fresh thinking is encouraged and expertise from the required domain can be melded with statistical tools for informed decisions.