- Built up the analytics team to solve end-to-end analytics problems for Gaming, Kids & Family, Movies, and Books verticals, in collaboration with Product, Engineering, UX, BD, Statisticians and other XFN teams.- Expertise: scalable data infra / experimentation, success metric, buyer and user segmentation, critical user journeys, pricing experimentation, user growth, quality improvement, engineering excellence, etc.- Data skills: SQL, R, statistical modeling, A/B testing, financial & operations modeling, Python, Linux, basic Tensor Flow and machine learning algorithms

- Started hardware analytics practice for Google Store, and scaled it to support 3X growth to $XXXM- Winner of 2014 Google internal hackathon (among 300 Googlers or 80 teams)

- Started global customer support demand planning from scratch for Nexus Hardware, Google Play, and Wallet. Led predictive modeling and sign-off cadence with XFN leadership

- developed a statistical demand forecast model and process change to improve operational efficiency by 3X- defined modem connectivity measurement and modeled bad Internet signal zones to improve car routing

- developed models of global Internet coverage, population, weather condition and other economics metrics on the 2km by 2km scale, to guide launch location prioritization for Loon and Google Air