Presented By O’Reilly and Cloudera
Make Data Work
September 11, 2018: Training & Tutorials
September 12–13, 2018: Keynotes & Sessions
New York, NY
Lindsay Brin

Lindsay Brin
Data Scientist, T4G


Lindsay Brin is a data scientist at T4G. A motivated, curious, and analytical data scientist with more than a decade of experience with research methods and the scientific process, Lindsay excels at asking incisive questions and using data to tell compelling stories, from generating testable hypotheses to wrangling imperfect data to finding insights via analytical models. Lindsay is passionate about teaching the skills necessary to analyze data more efficiently and effectively and has developed and taught workshops and online courses at the University of New Brunswick. She is also a Data Carpentry instructor and Ladies Learning Code chapter co-lead. Having recently made a career pivot from biogeochemistry to data science, she is also well-positioned to provide insight into the applicability of academic research and analysis skills to business problems.


1:30pm–5:00pm Tuesday, 09/11/2018
Location: 1E 15/16 Level: Beginner
Secondary topics:  Machine Learning in the enterprise
Average rating: **...
(2.67, 9 ratings)
Janet Forbes, Danielle Leighton, and Lindsay Brin lead a primer on crafting well-conceived data science projects that uncover valuable business insights. Using case studies and hands-on skills development, Janet, Danielle, and Lindsay walk you through essential techniques for effecting real business change. Read more.