Presented By O'Reilly and Cloudera
Make Data Work
Feb 17–20, 2015 • San Jose, CA

Office Hour with Noelle Sio (Pivotal) and Bob Filbin (Crisis Text Line)

Noelle Saldana (Heroku), Bob Filbin (Crisis Text Line)
3:10pm–3:50pm Thursday, 02/19/2015
Office Hour
Location: Table D

Want to learn more about volunteering as a Data Scientist? Bob and Noelle will be happy to share tips and stories about their experiences with:

  • Bringing a data driven culture and approach to a non-profit organization
  • How to be an effective data science volunteer
  • Making an impact with data science processes, not just models
Photo of Noelle Saldana

Noelle Saldana


Noelle Sio has a background in mathematics, statistics, and data mining with an emphasis on digital media. She is currently a Principal Data Scientist at Pivotal (formerly Greenplum). Her work has mainly focused on helping companies across multiple industry verticals extend their analytical capabilities by exploring and modeling digital data, specifically to create an underlying analytics framework to optimize a consumer’s experience. Her previous projects include enabling multiple media companies to optimize their online campaigns via dynamic targeting and pricing, predicting online clicks and conversions, gaming/sports analytics, and developing traffic prediction methods for route optimization.

Previously, she worked as a researcher at eHarmony and Fox Interactive Media, where she leveraged massive datasets up to the petabyte level for marketing optimization, fraud detection, and ad monetization products. During her time at Greenplum, she was among the first contributors to MADlib , an in-database machine learning library. Noelle holds an A.B. From Washington University in St. Louis in Applied Mathematics and Physical Anthropology and a M.S. in Applied Mathematics from Cal Poly Pomona.

Photo of Bob Filbin

Bob Filbin

Crisis Text Line

Bob Filbin is chief data scientist at Crisis Text Line, the first large-scale 24/7 national crisis line for teens on the medium they use and trust most: texting. Bob specializes in the application of behavioral psychology to questions of data collection, analysis, and reporting, to make sure data leads to good behavioral change. Bob has given lectures on using data to drive behavioral change at places including MIT, the University of Pennsylvania, and the North American International Auto Show, and has authored several articles in the Harvard Business Review on data. He runs in Prospect Park.