About me
Hello! I'm currently working as a Data Scientist at Stanford RegLab, with a team of interdisciplinary researchers trying to improve governance through responsible and fair data science. For example, we work with the Environmental Protection Agency on projects using computer vision + remote sensing to detect violations of environmental policy.
Previously, I was studying public policy and data analytics at Carnegie Mellon University. Alongside courses in machine learning and optimization, I learnt about AI ethics, design thinking, transportation systems, and more.
I also spent close to 5 years working at the Poverty Action Lab (J-PAL) on various projects with Indian state government departments. My team used administrative data to provide quick insights on programs, identify data quality improvements, and scope longer-term impact evaluations/experiments.
I hold a Bachelor’s degree in Economics from the University of Cambridge.
What I've worked on
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Machine Learning
Classification and regression problems using structured data
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Data cleaning and analysis
With various messy survey and admin datasets across sectors
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Causal inference
Experiment design and analysis, quasi-experimental methods
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Optimization
Linear and integer programming applied to decisions like facility location, resource allocation
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Project management
Team and budget management, working with technical and non-technical stakeholders
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Survey design and execution
Questionnaire development, monitoring survey data collection
Check out the portfolio section of the site to see some examples of my work!
