Date: Friday, January 31, 2014
Location: Maxwell-Dworkin G115, 33 Oxford Street, Cambridge, MA 02138
Speaker: Bo Peng, Data Scope Analytics
Time: Informal lunch with speaker, 12:30pm. Talk, 1:00pm
Title: Data Science and Design: Fickleness and How We Solve it
Abstract:
When solving problems, data scientists often encounter added layers of complexity when the
problems to be solved are not well defined, and their solutions unclear. In these cases,
standard, more straightforward approaches fall short, as they are not amenable to vague
problems, and are thus not guaranteed to reliably produce useful results. At Datascope
Analytics, we adopt methodologies from the design community and use a "continuous
feedback loop" to iteratively improve dashboards, algorithms, and data sources to
ensure that the resulting tool will be useful and well received. During this talk, I will
illustrate our approach by sharing a detailed example from one of our projects with
Procter & Gamble. I will end by showing a live demo version of our final visualization
tool, using movie data from the Internet Movie Database (IMDB).
Speaker bio:
Bo Peng has been a Data Scientist at Datascope Analytics since 2012. She has contributed
to a variety of in-house apps such as Lunch? and Cheating Commish, in addition to projects
for clients such as P&G, Thomson Reuters, and other well-known companies. She is
passionate about exploring the root issues behind relevant problems, then using data to
find solutions that ultimately improve the way people work and think. Bo received a BS in
mathematics and a MS in statistics, both from The University of Chicago.
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