David Derambakhsh
David Derambakhsh
David Derambakhsh is the director of Secure Power Systems at Schneider Electric, ITB division.
In his role, David is responsible for business development and strategies related to the promotion and applications of UPS and cooling products for facilities and industrial environments. In this role, David works closely with Schneider Electric Healthcare as well as industry teams involved in the water/waste water, mining and automotive and power generation segments.
David has extensive experience with UPS applications, large power systems, and data center applications including 3-phase UPS systems and redundant power generation. Other roles...
David Derambakhsh is the director of Secure Power Systems at Schneider Electric, ITB division.
In his role, David is responsible for business development and strategies related to the promotion and applications of UPS and cooling products for facilities and industrial environments. In this role, David works closely with Schneider Electric Healthcare as well as industry teams involved in the water/waste water, mining and automotive and power generation segments.
David has extensive experience with UPS applications, large power systems, and data center applications including 3-phase UPS systems and redundant power generation. Other roles and activities he has focused on include site testing and analysis of data centers and facilities to evaluate potential power and cooling issues, as well as the necessary upgrades.
David received his bachelor’s and master’s degrees in Electrical Engineering from California State University, Long Beach and Marketing and Business certificate degrees from University of California, Irvine and Northwestern University respectively.
Articles
Bloggers you may also like
Carmen de Miguel
Strategic Marketing Manager
Most recent post: How water circularity is transforming industrial sustainability and boosting the economy
Julien Arnaud
Global Vice President Business Development - Water Segment
Most recent post: Harnessing AI, machine learning, and digital twins for sustainable water management