Siemens Gamesa
Anand Khare is a seasoned professional in the field of machine learning and data science, currently serving as a Senior Solution Designer at Siemens Gamesa since July 2020, where the focus lies on developing advanced predictive models for turbine load optimization and validation. Prior experience includes a role at GE Renewable Energy from November 2016 to July 2020, where Anand developed machine learning models for virtual wind sensors and conducted Natural Language and Image Processing for wind turbine service logs. An internship as a Project Trainee at Cummins Generator Technologies provided foundational experience in the design and analysis of alternator components. Anand holds a Master of Technology in CADCAM and Automation from Veermata Jijabai Technological Institute and a Bachelor of Engineering in Mechanical Engineering from Shri Ramdeobaba College of Engineering and Management.
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