Elissa Goldner
Elissa Goldner is a highly skilled engineer and data scientist with a passion for creating innovative solutions for energy efficiency and grid stability. With an MS in Atmosphere/Energy Program in Civil & Environmental Engineering from Stanford University and a BS in Civil Engineering from Carnegie Mellon University, Elissa has excelled in various roles in the energy industry. She has contributed significantly to the development of data-driven smart energy solutions by applying data analytics and machine learning techniques at companies such as Weave Grid, OhmConnect, and Silver Spring Networks. Elissa has also worked as an Instructor at Data Science Dojo, a Product Engineering Intern at Silver Spring Networks, an Intern at Civil & Environmental Consultants, Inc., and a Teaching Assistant/Grader at Carnegie Mellon University.
