Kiran Kumar

Kiran Kumar has extensive work experience in the energy solutions industry, with a focus on data science, data analytics, and system engineering.

Kiran is currently the Director of Data Science and Data Analytics at LG Energy Solution Vertech, Inc., where they lead the development of data analytics strategies and technologies.

Prior to their current role, Kiran worked at NEC Energy Solutions, where they held several positions. Kiran served as the Director of System Engineering and Analytics, responsible for leading cross-functional teams in the design and optimization of battery energy storage systems. Kiran also played a key role in developing predictive analytics engines.

Before that, Kiran was the Principal Software/Firmware Engineer at NEC Energy Solutions, where they led the development of closed-loop energy storage controls algorithms and managed a team. Kiran also contributed to the design and development of safety-certified software for battery management systems.

Earlier in their career, Kiran worked as the Technical Manager at Northern Power Systems, where they were responsible for the development of embedded software and controls for wind turbine products.

Additionally, Kiran has experience working in various companies, where they held roles ranging from senior software engineer to software manager. Kiran managed teams and successfully transitioned products from conception to commercialization. Kiran also designed and developed software for industrial digital vision technology and automotive engine control units.

Overall, Kiran Kumar has a strong background in data science, system engineering, and software development in the energy solutions industry.

Kiran Kumar holds a professional certificate in Business Leadership and Management from the University of Vermont, a Masters degree in Computer Science from the State University of New York, and a B.S in Electrical, Electronics and Communications Engineering from the University of Mysore. In addition, they have obtained a certification in Machine Learning from Coursera in May 2020.