Laura Suttle
Data Scientist
New York City Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolLaura Suttle is a data scientist with a decade of experience building analytics and data products for enterprise users, currently at Bloomberg in the New York City area. She combines rigorous academic training in cognitive psychology and data science (Princeton and UC Berkeley School of Information) with hands-on product work designing dashboards and management-level analyses at Caliper. Her background in linguistics and teaching at Princeton informs a clear, user-centered approach to communicating insights and building training materials. At Bloomberg she applies this multidisciplinary perspective to large-scale financial and information systems, turning complex signals into actionable tools for stakeholders. Colleagues value her blend of quantitative depth and instructional experience that helps bridge technical teams and end users.
10 years of coding experience
2 years of employment as a software developer
Master of Information and Data Science, Data Science, Master of Information and Data Science, Data Science at UC Berkeley School of InformationBA, Linguistics and Cognitive Science, 3.7, BA, Linguistics and Cognitive Science, 3.7 at Cornell UniversityMaster's degree, Cognitive Psychology, Master's degree, Cognitive Psychology at Princeton University
English
Github Skills (49)
prediction10
api-client9
api-platform9
bloomberg9
hypothesis-testing9
econometrics9
statistics9
espn9
statsmodels9
regression-models9
api9
forecasting9
modeling9
rest-api8
data-analysis8
Programming languages (5)
Github contributions (5)
lsuttle/CapstoneSite
Feb 2017 - Apr 2017
Contributions:66 pushes, 1 branch in 2 months
lsuttle/pybossa
Jun 2020 - Aug 2020
Bloomberg's fork of pybossa
Contributions:53 pushes, 12 branches in 2 months
bloombergpybossa
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