• Partnered with Data Science Directors/VPs to identify and execute on overall strategy including creating a long-term vision for Data Science at Google• Facilitated growth and community among Data Scientists across Google by co-leading DS Manager Development, Interviewing, Onboarding, Summit, Rotation Program, Mentorship Program, and Leadership Development Program

• Co-led multi-year transition to enable PM/Eng to self-serve experiments, data pulls, and dashboards; resulting in DS freed up for deeper analytical work and proactive contributions• Directed Analytics efforts for Google Photos storage policy change which enabled Photos onto a path for long-term revenue sustainability• 20% Project: Created and led DS Manager Development for the 350+ DS managers across Google

• Managed a team of 6 Data Scientists providing Analytics for the 18 PMs and 210 SWEs across Google Photos (Memories, Sharing, Gallery, Editing, Storage, Printing)• Designed and implemented analytics request intake and prioritization processes for Photos and Ads Analytics teams, leading to notably better focus and execution

• Overhauled Ads experimentation process leading to increased statistical rigor yet 50% less time spent on analysis• Presented analysis results and recommendations to Directors & VPs, projects resulted in incremental revenue impact of over $100M• 20% Project: Program improvements resulting in hundreds of more Googlers biking to work

• Built ML models in R/Python to help small businesses digitize and grow; improved AUC from .72 to .84 by migrating models to TensorFlow• Designed and analyzed >50 experiments to improve product support and help SMBs determine which Google products are most useful for their business• 20% Project: Behavioral Economics Consultant under Dan Ariely (Google Irrational Lab)

• Led process improvements which decreased new study analysis turnaround time from days to hours• Implemented multivariate and logistic regression analysis, significance testing, factor analysis, and correspondence analysis

• Redesigned global processes for hundreds of Research and Data Processing employees as member of 5 person tiger team• Awarded "exceptional achievement" (Top 5%)

• Mined data to find practical suggestions and improvements to be communicated with clients• Updated surveys to include questions more relevant to business needs

• Performed econometric analyses including vector auto-regressions and cointegration models• Assisted senior economists with research projects and academic papers

• Taught undergraduate statistics class (Economics 311 – Statistical Methods)• Tutored undergraduate and MBA students in statistics and economics

• Supervised and mentored a staff of 4 RAs and 4 front desk workers• Promoted a residence hall atmosphere focused on scholarship and diversity

• Tutored students in math and optical engineering