Sukhmanpreet Singh has a strong interest in both policy evaluation and development economics. He interned at the Sabudh Foundation before working for Athena Infonomics, where he worked on a project involving the analysis and conversion of sales, and received an A grade for his performance. Sukhmanpreet’s primary area of interest is quantitative research, since he enjoys working with numbers, gathering data, and spotting patterns. He has developed expertise in tools such as Stata, R, Python, and Statistics during his work.

Sukhmanpreet earned a Master’s degree in Development Economics from the University of Sussex. In his dissertation, he looked at the relationship between private schools in India and students' academic performance, and, using the Propensity Score Matching technique, discovered that students who attend private schools perform better than those who attend public schools. He has also completed the Abdul Latif Jameel Poverty Action Lab’s Randomization course.