Presented By O’Reilly and Cloudera
Make Data Work
March 5–6, 2018: Training
March 6–8, 2018: Tutorials & Conference
San Jose, CA
Daniel Lurie

Daniel Lurie
1989, 1989

Website

Daniel Lurie leads the product analytics and science team at Pinterest, a group that mixes deep data skills with strategic thinking to help Pinterest’s product team grow the company’s user base, develop new features, and increase engagement. The team’s work ranges from understanding product performance via A/B experiment analysis to identifying and sizing market opportunities to defining and tracking success through metrics. Previously, Dan led analytics for a sales-focused business line at LinkedIn and worked in consulting.

Sessions

11:00am–11:40am Wednesday, March 7, 2018
Breaking up the block: Using heterogenous population modeling to drive growth
Data science and machine learning
 Location: LL20 C
Daniel Lurie (1989)
All successful startups thrive on tight product-market fit, which can produce homogenous initial user bases. To become the next big thing, your user base will need to diversify, and your product must change to accommodate new needs. Daniel Lurie explains how Pinterest leverages external data to measure racial and income diversity in its user base and changed user modeling to drive growth. Read more.