- Develop software and statistical tooling for faster experimentation at Member Product, spanning a variety of experiments across UI, Personalization Algo, Search, and Gaming.

Selected projects:- Improved the methodology of Lift, an advertiser-facing experimentation platform that measures the causal effect of Facebook ads- Launched variance reduction via Bayesian hierarchical modeling- Led a 0-to-1 project to measure the causal effect of Instagram organic content on conversions

- Sped up a core Bayesian model by 4 times with custom Markov Chain Monte Carlo in Python, saving analytics consultants’ time and enabling new business opportunities- Improved maintainability with unit tests that run 100+ times faster than current integration test- Conducted technical user interviews and collaborated with 3 data scientists to build a high-priority R package, delivering ahead of schedule and securing a sale

- Led the dialogue between data scientists and policy makers, creating actionable metrics on entrepreneurship and human capital for 750+ client cities- Managed relationships with lawyers and external partners (IBM, LinkedIn) to translate and package the metrics into data dashboard product- Presented results from the pilot to ministry officials in Uganda and representatives from 10+ countries in D.C

- Taught Ph.D. students quantitative methods (e.g. regression, matching, MLE) and applied data analysis using R.- Built a website that automates grading, announcement, and visualization of students’ performance.

- Assisted with drafting a special evaluation of the Bank's programs in governance- Conducted research on the latest thinking in governance and corruption, made recommendations for the Bank's development strategy in this area- Presented the paper to senior bank officials, generating great buy-in that led to further dissemination of the paper within the Bank even after the internship