Oil and Vinegar? How Data Scientists & Business Leaders Collaborate for Impact

Companies that are winning today - Facebook, LinkedIn, Microsoft, Jet, LogMeIn - all tuned in early to the benefit of strengthening their data science capabilities. They know the upside of building a data-driven business is obvious –– whether it’s for gaining predictive capabilities, operational efficiency, or revealing customer insights and market trends.

As hundreds of other companies follow suit and build internal data science capacity, they're confronted with how to marry their data science talent with other business leaders. Collaboration and understanding each other's roles are critical components in moving from status quo to transformation.

Join us October 19th for a panel discussion with both data science and business experts who will discuss best practices and mistakes from their own experiences, providing the audience with actionable advice.

Event Schedule:
6:30 - 7:00: Check-in, mingle, enjoy food and drinks
7:00 - 8:00: Panel Discussion (with Q&A)
8:00 - 8:30: Wrap-up and networking

Panelists:

http://photos3.meetupstatic.com/photos/event/8/8/0/e/600_454594830.jpeg

Rene BastonExecutive Director, Northeast Big Data Innovation Hub, Columbia University

René Bastón has over 20 years of experience in innovation, alliance building, public/private collaborations, entrepreneurship, technology transfer & commercialization. He spent years as a management consultant for systems integrator, Ernst & Young; has created a number of public/private partnerships; and has founded startups based on the transfer of university, NIH, and NIST technologies.

http://photos2.meetupstatic.com/photos/event/8/8/8/5/600_454594949.jpeg

Mike GalvinSenior Data Scientist, Metis

Michael came to Metis from General Electric, where he worked to establish their data science strategy and capabilities for field services and to build solutions supporting global operations, risk, engineering, sales, and marketing. He also taught data science and machine learning for General Assembly. Prior to GE, he spent several years as a data scientist working on problems in credit modeling at Kabbage and corporate travel and procurement at TRX.

Michael holds a Bachelor's degree in Mathematics and a Master's degree in Computational Science and Engineering from the Georgia Institute of Technology where he also spent 3 years working on machine learning research problems related to computational biology and bioinformatics. Additionally, he spent 12 years in the United States Marine Corps where he held various leadership roles within aviation, logistics, and training units.

http://photos4.meetupstatic.com/photos/event/e/7/4/c/600_455039212.jpeg

Yana Kane-EsrigSenior Principal Engineer at Comcast

Yana Kane-Esrig currently works for Comcast as a Senior Principal Engineer. She focuses on the analysis of Quality of Service and Quality of Experience data in the context of the High Speed Data Services. Her objective is to obtain and communicate to the business leaders the insights that help Comcast to reliably and cost-effectively deliver on its promises to its customers and to offer new products to the market. Prior to Comcast, Yana worked for Bellcore, Lucent and Alcatel-Lucent. Yana received her Ph. D. degree in Statistics from Cornell University and her B. S. E. in Electrical Engineering and Computer Science from Princeton University.

http://photos1.meetupstatic.com/photos/event/8/8/9/a/600_454594970.jpeg

Dr. Mark HansenDirector, David and Helen Gurley Brown Institute for Media Innovation, Columbia University

Mark Hansen joined Columbia Journalism School in July of 2012, after a decade of shuttling between the west and east coasts. In Los Angeles, he held appointments in the Department of Statistics, the Department of Design Media Arts and the Department of Electrical Engineering at UCLA -- literally forming a triangulation of data, art and technology -- and was a Co-PI for the Center for Embedded Networked Sensing, an NSF Science and Technology Center devoted to the study of sensor networks. While in New York, Hansen was a long-standing visiting researcher at the New York Times R&D Lab and a consultant with HBO Sports. Hansen works with data in an essentially journalistic practice, crafting stories through algorithm, computation and visualization. In addition to his technical work, Hansen also has an active art practice involving the presentation of data for the public. His work with Ben Rubin at EAR Studio has been exhibited at the Museum of Modern Art in New York, the Whitney Museum, the Centro de Arte Reina Sofia, the London Science Museum, the Cartier Foundation in Paris, and the lobby of the New York Times building (permanent display) in Manhattan. Hansen holds a PhD and MA in Statistics from the University of California, Berkeley and a B.S. in Applied Math from the University of California, Davis.
Connect with us before the event! @thisismetis