Managed Airbnb’s Host Growth data science team, focused on supply growth across product and operations channels. The team provided analytics, experimentation, and modeling support for a broad scope of user acquisition channels: organic/direct, SEM, SEO, sales, referrals, and brand marketing.

First data scientist focused on supply growth at Airbnb.* Led development of the first LTV model used to value Airbnb’s millions of listings worldwide.* Defined key company supply metrics, and built core ETL for reporting and analysis.* Provided analysis and experimentation support for Airbnb host product launches.* Expanded Airbnb’s experimentation framework to the supply side of the marketplace. * Developed internal company training on experiment design for engineers.

Analyst supporting services in consulting and expert testimony. Designed and implementedpredictive and explanatory models in R, Stata, Python, and Excel, using wide array of statisticaland econometric methodologies. Emphasis on distilling economic concepts to provide actionable recommendations to clients in a range of industries.Frequent use of GIS software for spatial data analysis. Project work included survey design, time series analysis and forecasting, discrete choice models, DCF analysis, and credit risk modeling.

Took a break from work and fulfilled a long-held dream of making a round-the-world trip, backpacking for eight months through 19 countries.

Conducted research for diverse range of corporate and government clients on policy options to increase sustainability in the California transportation sector.

Conceptualized and implemented new patient tracking system to improve health services in free clinics run by a Bolivian microfinance NGO.