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

Danielle Leighton
Director, Data Science, T4G


Danielle Leighton is director of data science at T4G, where she helps clients approach, design, implement, and integrate new insights and advanced analytics data products that align with their business goals. She currently focuses most of her time on data science in the energy sector. She’s passionate about keeping data in context and applying research methods, best practices, and academic algorithms to industry business needs. With a strong background in machine learning, Danielle identifies the math, visualizations, and the business questions and processes necessary to create reliable predictive models and, ultimately, good, data-driven business guidance. Danielle has worked in healthcare, academia, government, retail, gaming, and energy and with quantified selfers, biohackers, hacklabs, and makerspaces. She is notoriously unreadable to GSR wearables. In her previous life, Danielle worked with the world’s most sophisticated wearable to date, the hearing aid.


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.