New York, New York, United States
I'm a Data Scientist supporting Instagram Stories at Meta. My day to day involves using quantitative data to prioritize features that most efficiently increase Stories adoption, engagement and retention. Before supporting the DS function, I supported Product Growth Analytics (PGA) as the Growth Lead for Stories. Prior to Meta, I was an Engagement Manager at Oliver Wyman, a management consulting firm, advising Fortune 500 clients and industry incumbents in the Communication, Media and Technology (CMT) sector. My expertise revolves around customer analytics, churn and retention, pricing, and product execution.
Interned with the Product Data Operations (PDO) function supporting Community Group Products (Facebook Groups, Events, Campus, Neighborhoods). Created new tooling to better estimate data annotation volumes, potentially reducing 18-23% or $3M in budgeted OpEx. Received full time return offer for Global Operations organization.
Wharton Analytics Fellow (1 of 6 across MBA class); led team of six to build event forecasting model based on COVID-19 outbreaks for Evite, a social event planning platform
Business analytics and data visualization experience across multiple engagements in telecommunications, financial services, and consumer services sectors. Particular expertise in marketing analytics, segmentation and base management. Experience in North America, Asia and Australia.