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How do data infrastructure, insights and products change when your user base grows by orders of magnitude? When should you move your user-facing data product off your laptop? (hint: now!) Does your data offer insights about the world at large, or is it just mirroring your early adopters? In this talk, I will share some of the data scaling lessons we’ve learned at LinkedIn, recount war stories (and close calls!) and document the evolution of the data scientist.
Monica is a data scientist with a passion for turning data into products, actionable insights, and meaningful stories. As the VP of Data for Jawbone, she focuses on developing data-driven products that promote a healthier lifestyle and on finding stories in the UP wristband data.
Prior to Jawbone, Monica was one of the early members of the LinkedIn data science team, where she developed and improved some of LinkedIn’s key data products for matching jobs to passive candidates, discovering people you may know, and recommending groups you may like. Monica’s compelling data stories are often picked up by the mainstream press, including the Wall Street Journal, The Economist, NPR and CNN. Monica holds a Ph.D. in Computer Science from CMU, where she focused on text mining and applied machine learning. She authored eight US patents and numerous papers that appeared in top-tier peer-reviewed journals and conference proceedings.
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