Presented By O'Reilly and Cloudera
Make Data Work
Sept 29–Oct 1, 2015 • New York, NY
Yael Garten

Yael Garten
Director, Data Science, LinkedIn

Website

Yael Garten is director of data science at LinkedIn, where she leads a team that focuses on understanding and increasing growth and engagement of LinkedIn’s 400 million members across mobile and desktop consumer products. Yael is an expert at converting data into actionable product and business insights that impact strategy. Her team partners with product, engineering, design, and marketing to optimize the LinkedIn user experience, creating powerful data-driven products to help LinkedIn’s members be productive and successful. Yael champions data quality at LinkedIn; she has devised organizational best practices for data quality and developed internal data tools to democratize data within the company. Yael also advises companies on informatics methodologies to transform high-throughput data into insights and is a frequent conference speaker. She holds a PhD in biomedical informatics from the Stanford University School of Medicine, where her research focused on information extraction via natural language processing to understand how human genetic variations impact drug response, and an MSc from the Weizmann Institute of Science in Israel.

Sessions

9:00am–12:30pm Tuesday, 09/29/2015
Business & Innovation
Location: 3D 05/08
Marie Beaugureau (O'Reilly Media, Inc. ), Paco Nathan (derwen.ai), Tim Berglund (Confluent), Edd Wilder-James (Google), Matthew Gee (Impact Lab/University of Chicago ), Yael Garten (LinkedIn), Katie Kent (Galvanize)
Average rating: ***..
(3.78, 9 ratings)
Whether starting a data science program, reaching the breaking point with your current data technology, or figuring out what the competition is up to, these sessions will give you a bird's-eye view of data technologies, techniques, and data-driven organizations. Read more.
12:00pm–12:30pm Tuesday, 09/29/2015
Data 101
Location: 3D 05 / 08 Level: Non-technical
Yael Garten (LinkedIn)
Average rating: ***..
(3.33, 15 ratings)
You’ve decided you need data scientists. You know who to hire. Now, what do you do with them? We’ll discuss examples of how companies like LinkedIn make business decisions from data. We’ll review the spectrum of data science, data quality and platforms, and how data scientists drive the art, science, and politics of defining KPIs to transform into a data-driven org. Read more.