Tanuj Tanmay is a wind energy analyst with eight years of technical and analytical experience bridging turbine performance, wake modelling and data-driven validation. After a foundational stint in financial data and automation at Barclays, he pivoted to wind energy—earning an MSc in Sustainable Energy Technology from TU Delft and spending five years at Siemens Gamesa optimizing rotor and blade performance using lidar measurements and machine learning. Now at Ørsted, he applies that blend of field measurements, physics-based models and ML validation to improve offshore turbine and farm performance. Colleagues rely on his practical knack for turning complex inflow and erosion diagnostics into actionable performance deltas, and his background in market-data systems gives him a rare strength in reproducible, data-centric engineering.
8 years of coding experience
5 years of employment as a software developer
Master of Science, Sustainable Energy Technology, Master of Science, Sustainable Energy Technology at Delft University of Technology
Bachelor of Technology, Mechanical Engineering, Bachelor of Technology, Mechanical Engineering at Indian Institute of Technology, Kharagpur
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