Human Languages
English (Native); Hindi (Verbal fluency, basic written); Spanish (advanced coursework)
Hi, I'm Neha.
Data Science Researcher. Former software engineer.
Currently, I'm working on a causal inference team at Duke (this one), building causal inference algorithms that use machine learning for fast, interpretable, accurate matching on observational data. Secondly, I'm now working at the United Nations Global Pulse Labs (linked here) as an AI and Data Science Research Fellow.
I am a graduate of Duke University's MS in Economic Computation (MSEC). Previously, I had a career as a corporate software engineer, focused on backend platforms and infrastructure. I worked at Google for the Gmail backend tools and infra teams (summer intern), and at FactSet, a financial analytics platform and data provider (2 years). Prior to that, I graduated from Michigan State University's College of Engineering and Honors College, with a BS in Computer Science and Engineering. As an undergrad, I TA'd a number of courses, and actively run programs for women in STEM fields.
My ongoing community service, my professional, and my personal background (born and raised in a small city in Michigan, with my immigrant family) motivates my policy-relevant economics interests. My broad interests beyond causal inference/ML also include applied micro (labor, urban), mechanism design, and growth/technology policy.
You can reach me by email at "neha.r.gupta" + "at" + "duke" + "dot" + "edu".