Data Science in a Mobile Era


Details
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Data Science has changed dramatically over the past few years as the amount of data being generated via mobile and other connected devices is growing exponentially. This has elevated the role of the Data Scientist to one of high strategic importance for companies large and small to help guide decisions and the shape future products.
At this exclusive event, join Capital One Data Scientists and guest speakers as we explore the current state of Data Science, the impact of mobile on the practice and where the future lies.
We'll be meeting in Capital One Labs fancy new digs (https://www.capitalonelabs.com/#/about) in the Flatiron District. Space is limited, so please RSVP early to guarantee your seat.
We're happy to announce our program for the evening!
Moderator:
Kathy Copic- Program Director for Growth, Insight Data Science
Kathy Copic is the Program Director for New Initiatives and Growth at Insight Data Science, where she helps scientists transition from academia into new careers in industry. Before that, she worked in Experimental Particle Physics at labs including CERN, Fermilab, SLAC, Lawrence Berkeley, and Brookhaven. She earned her Ph.D. in Physics at the University of Michigan, was a post-doc in the same field at Columbia, and worked as a Staff Scientist at Berkeley National Lab before starting at Insight. She is working on Insight's expansion to New York City this summer.
Panelists
Tom LaGatta- Courant Instructor, NYU
Tom LaGatta is a Data Scientist specializing in Probability and Statistics. Tom has a PhD in Mathematics from the University of Arizona, and until recently was a Courant Instructor at the Courant Institute at NYU. Tom enjoys working with infinite-dimensional structures like time series and random metrics, and prefers functional languages like Clojure and R. Tom is joining Splunk as a Data Scientist in May.
Phil Kim- Senior Director, Big Data Innovation Program, Capital One Labs
Phil Kim has been with Capital One Labs since November 2012 when Capital One acquired his startup, Bundle.com. He heads up the NYC Lab and lead the Big Data Innovation Program. His team gets to explore ways to leverage massive quantities of data to create strategically valuable new products and capabilities for Capital One. Phil received his Bachelors and Masters degrees in Computer Science from MIT, and MBA from Harvard Business School.
Katie Patton- Director E-Commerce and Marketing Measurement & Analysis, Marriott International and Gipper1, Data & BI Initatives
Katie is a BI professional with over a decade of experience in both IT and Business functions, developing data driven solutions for University, Government and Private enterprises. She has built robust applications for statistical analysis as well as large-scale reporting deployments. Recently, she has been focused on working with large, digital data sets to create and deploy statistical models, support digital analytics and build cloud-based solutions across a portfolio of sites and mobile applications.
Rassul Fazelat- Technology Talent Consultant, Knowledgent Group
Rassul Fazelat comes from a math and sciences academic background (degreed chemist, physics & math minors), who worked as an IT Solutions Sales Consultant for 12+ years. He has leveraged his “in the field” technical understanding to help talent acquisition departments better engage technical talent. Initially starting his own firm, Callidio Staffing where he supported HR teams at US Cellular, Qualcomm, Clear Channel, Larry Ellison’s NetSuite, Abovenet, Desire2Learn and others. He has recently taken a full-time post at a leading Analytics/Big Data-specific consulting firm, Knowledgent Group.
Agenda:
6PM: Food, drinks, networking
7PM: Program
8PM: Networking
9PM: Adjourn
Special thanks to our sponsors!
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Data Science in a Mobile Era