Garrett is a marketing technologist with a knack for helping leading brands create, capture, and deliver value from their digital consumer experiences. He played a key role in developing the big data and analytics initiatives at Bazaarvoice as the Data & Analytics Product Manager. There he led the development of a groundbreaking new tracking methodology for user generated content, allowing clients to understand the financial impact of specific review content on consumer purchasing behavior. As Edgecase’s Chief Data Scientist, Garrett is focused on leveraging machine intelligence to help retailers understand how product data fuels shopper behavior and ecommerce results.
Garrett holds a BS in Computer Science from Stanford University, where his research work in semantic search and human computer interaction (HCI) formed the theoretical basis for the Edgecase solution and architecture, and he has been tapped to speak publicly as an expert on these topics. He has multiple patents pending in the areas of web analytics, data mining, and recommender systems.
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