Experimentation plays a central role in understanding the business impact of data science strategies and solutions. A few weeks ago, Wayfair Data Science Manager Jerry Chen shared one way Wayfair has improved the experimentation process by building a unified test design and measurement platform (Gemini) for our marketing AB tests ( read the blog post here!). In this video, Jerry will provide an introduction to running large scale Monte Carlo simulations to validate/optimize test design and measurement methodology using historical data.
Jerry is a big data/statistics enthusiastic. At Wayfair, he focuses on developing automated measurement platforms, as well as automated bidding optimizers for search engine marketing. He comes from a mixed background in physiology (PhD, University of Illinois at Urbana-Champaign) and statistics (MS, University of Illinois at Urbana-Champaign). Originally from Shanghai, China.
