Data science is a critical component for virtually every modern company. Being able to collect and understand data—whether as a service for your customers or as an internal practice—is fundamental for technology-based startups. Join us as Roy Keyes, Sr. Data Scientist of Arundo Analytics, shares insights about the field of data science, and steps you can take as an entrepreneur to capture and leverage data.
WHO SHOULD ATTEND
B2B / B2C — Either
INDUSTRY — Any
TECHNOLOGY — Any
BUS. MODEL — Any
STAGE — MVP (self-funded or F&F, working prototype); Product-Market Fit (seed or series A, product version 1.0+); Scale (series B+, product version 2.0+)
BUS. FUNCTION — Product; Team; Strategy
WHAT ATTENDEES WILL LEARN
What is data science?
Mapping out the buzzwords: artificial intelligence, machine learning, big data, etc.
What is a data scientist?
When should your startup need a data scientist, and how to build a data science team?
Data science success and mistakes in startups
Roy Keyes is a senior data scientist at Arundo Analytics and the co-organizer of the Houston Data Science Meetup group. He started in data science in 2012 and has worked with a number of tech startups as a consultant or employee. Before data science, Roy received a PhD focused on computational radiation physics applications in medicine. Roy first came to Houston to do his undergrad at Rice and keeps returning to Houston, most recently from San Francisco.
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