Livestream: Managing Data Science Projects
Details
This event will be Livestreamed here:
https://livestream.com/metis/events/8565438
EVENT
Managing Data Science projects is notoriously difficult. Going into a project it can be difficult or impossible to foresee data quality issues, which models will work well, and how much effort is necessary to ship a data product.
Leaning on a few years of leading data science engagements at startups and large companies, I've picked up a few tricks to keep data science projects on-time and meeting mission critical milestones, all while keeping data scientists happy. We'll touch on how data science projects differ from most software engineering projects, why its important to spend a bit more time planning them, and how to make sure your projects are a success.
BIO
Brendan Herger enjoys bridging the gap between data science and engineering, to build and deploy data products. He is a Senior Data Scientist at Metis.
Brendan brings a unique combination of machine learning, deep learning, and software engineering skills. In his previous work at Capital One and startups, he has built authorization fraud, insider threat, and legal discovery automation platforms. In each of these cases he's lead a team of data scientists and data engineers to enable and elevate his client's business workflow (and capture some amazing data).
When he's not knee deep in a code base, Brendan can be found traveling, sharing his collection of Japanese teas, and playing board games with his partner in Seattle.
About Metis
Metis (thisismetis.com) accelerates careers in data science by providing full-time immersive bootcamps, evening part-time professional development courses, online resources, and corporate programs based in Seattle, New York, Chicago, and San Francisco.
Brought to you by Kaplan, Metis focuses primarily on Python, machine learning, data visualization, deep learning, big data processing, statistical foundations, and more. Students and alumni of the bootcamp program receive continuous support from our career advisors, empowering them to pursue a successful career in the fast-growing field of data science.
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