Mobile is already changing everything about the way we access information, and we’ve only begun to experience the impact of the smart devices revolution. Mobile analytics is also very different from web product analytics. With a variety of screen sizes, operating systems, and many other features, the “mobile platform” is in fact a multitude of distinct platforms. How do we recognize and even benefit from this richness and heterogeneity to create amazing products our users will love? Data science for consumer internet products relies on our ability to effectively analyze and understand ubiquitous computing in terms of a holistic product experience, as individuals consume and create data on mobile and desktop devices in their day-to-day lives. I’ll talk about mobile data science challenges — from product development to data-driven decision making.
Yael Garten is a Senior Data Scientist at LinkedIn, where she leads the mobile data analytics team that focuses on understanding and increasing Mobile engagement of LinkedIn’s 200 million members. Yael’s team is focused on converting LinkedIn’s rich data into actionable product and business insights that optimize the LinkedIn mobile experience and create powerful data-driven products that help members be productive and successful. Her team also focuses on understanding the impact of mobile usage on the rich LinkedIn ecosystem.
Before joining LinkedIn, Yael was at Stanford University, where she completed her PhD in Biomedical Informatics, focusing on information extraction via natural language processing to understand how human genetic variations impacts drug response. Yael advises biomedical companies on informatics methodologies to transform high throughput data into insights. She has a PhD from Stanford University School of Medicine, and MSc from the Weizmann Institute of Science in Israel.
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