As the Global Lead of Analytics and Data Science for YouTube Monetization Trust and Safety, I oversee a data-driven team that supports the development and improvement of YouTube's monetization policy, engineering, and product features. With over 15 years of experience in data science, I have a strong background in machine learning, LLMs, data visualization, and data products, as well as a track record of building high performing data science teams.My mission is to make the internet a better place, one data-driven feature at a time. I have led analytics and data science initiatives that have helped YouTube become the first content platform to prove it has over 99% brand safe ad impressions, as well as launching AutoMod at Twitch, an industry-leading adaptive text moderation system for live chat. I have also modeled the Twitch ecosystem to understand user behavior, content mechanics, and customer segmentation, and provided direct decision support to Twitch and Amazon executive leadership teams. I am passionate about leveraging data and insights to create value for users, creators, advertisers, and society.
Listed skills include Analytics, Start Ups, Python, R, and 46 others.