Yueqi (Emory) Tian is a Business Intelligence Analyst at a leading submetering company, where she focuses on leveraging data to improve energy management, billing accuracy, and customer insights. She specializes in utility tariff modeling, distributed energy resources, and optimization frameworks that align operational strategies with dynamic market signals.
Previously, Tian led an energy optimization initiative that delivered over $1 million in seasonal savings and a 17% reduction in carbon emissions through smarter scheduling of hybrid energy systems. Her work bridges the gap between data science and real-world operations, helping organizations unlock cost efficiencies while advancing sustainability goals.
Tian is passionate about developing scalable, transparent analytics solutions that empower institutions and businesses to thrive in today’s complex energy landscape.