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

Noelle Saldana
Director of Product Management, Data Science & Analytics, Heroku

Website | @noellesio

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.

Sessions

2:40pm–3:00pm Thursday, 02/19/2015
Data Science
Location: LL20 A
Noelle Saldana (Heroku)
Average rating: ****.
(4.33, 3 ratings)
While many companies use data science to increase profits, some nonprofits are using it to save lives! Crisis Text Line connects teens in crisis to counselors via text message, and recently partnered with DataKind and Pivotal on a pro bono project to more quickly route teens to help. Go behind the scenes to learn how they came together to make an impact and how you can too! Read more.
3:10pm–3:50pm Thursday, 02/19/2015
Office Hour
Location: Table D
Noelle Saldana (Heroku), Bob Filbin (Crisis Text Line)
Want to learn more about volunteering as a data scientist? Bob and Noelle will be happy to share tips and stories about their experiences in bringing a data-driven culture and approach to non-profit organizations. They’ll discuss how to become an effective data science volunteer and how to make an impact with data science processes, not just models. Read more.