Project

C3 Energy

DESCRIPTION

Consulted on the development of a malfunction and theft detection system for energy utility providers. Used unsupervised and semi-supervised approaches on a complex dataset combining smart-meter utility data with billing, service, and various metadata. Technologies included python-based libraries (pandas, sklearn, etc) on AWS-based parallel computation.

SECTOR
version 0.4.5