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Podcast: Data Bytes
Episode: Causality & Experimentation with Erik Gregory - Industry Case Study
Description: In this episode, Erik explains what casual inference is, use cases for this type of analysis and why asking for reviews from other team members is important. He also dives into experimentation and how we can evolve our analysis.
About Erik Gregory
"I am a Senior Staff Data scientist with 10+ years of experience who currently works at Meta. My strengths and focus in data science are experimentation and causal inference, data tools and automation, and social network analysis. In my current and past positions I have worked on ecosystem analyses, equitable product development, ads targeting, climate an...