Webinar: Start w/ Strategy, Building Effective DS Project Portfolio for your Biz

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What makes some companies reap the benefits of AI while others struggle to see return on investment?

The difference is strategy.

On May 15th, 1pm ET, Metis Sr. Data Scientist, Kerstin Frailey will discuss the challenges of strategic planning for data science and how to overcome them. This workshop is a must for business leaders, data science managers, and decision makers who want to ensure the effectiveness of the AI and data science capabilities they build.

Attendees will leave equipped with the tools to:
Critically evaluate and select pitched projects
Build an impactful and high yield project portfolio
Evolve a roadmap to quickly adapt to new opportunities

Visit www.thisismetis.com/webinar to register today.

Kerstin, a senior data scientist, enjoys merging data science with practicality to drive real world impact.

Kerstin is passionate about bringing data science from the edge of business to the center of it. She has data science experience in all three sectors: for-profit, non-profit, and government. As Director of Data Science, she founded the Guidestar data science team and brought machine learning to the largest nonprofit data warehouse. At Postmates she used her broad data science toolkit to support marketing, growth, finance, and fleet team needs. As a University of Chicago Data Science for Social Good Fellow she helped uncover early signals for delays in education. She holds graduate degrees in statistics, mathematical statistics, and mathematical computer science from Cornell University and University of Illinois at Chicago. As an undergraduate she studied psychology and anthropology at Yale University.

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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