Summary
Saloni Bhogale is a quantitative research scientist and research assistant with a PhD in Political Economy and 8 years of experience applying quasi-experimental methods, A/B testing, and machine learning to policy-relevant problems. She builds and automates high-throughput data pipelines (Docker, Python, HTCondor), conducts power and sample-size analyses for experiments, and has led observational causal studies using difference-in-differences and instrumental variables across public health, law, and political science. A former research scientist who supervised teams and developed award-winning researcher tools (Elasticsearch, ReactJS), she also translated NLP and unsupervised learning into a language model with 96% intercoder reliability. Her work has been funded by the NSF and presented at 20+ conferences, and she brings practical consulting experience from The World Bank alongside industry rotations in supply chain and strategy. Based in the Greater Madison Area, she combines rigorous econometric training with production-grade software engineering to turn complex empirical designs into reproducible, scalable research.
8 years of coding experience
2 years of employment as a software developer
Master of Science - MS, Statistics, Master of Science - MS, Statistics at University of Wisconsin-Madison
Master of Arts - MA, Computer Science, Master of Arts - MA, Computer Science at Ashoka University
Bachelor of Technology (BTech), Information Technology, Bachelor of Technology (BTech), Information Technology at Veermata Jijabai Technological Institute (VJTI)
English, Hindi, Marathi, Gujarati, Spanish