About

Rohit Mishra is a highly skilled data scientist with over 7 years of experience in the renewable energy domain. He specializes in predicting wind power, bridging the gap between industrial asset performance and customer expectations, and providing analytical solutions to key stakeholders. Rohit is currently working as a Principal Analyst at Citi, where he leverages his expertise in machine learning, statistical analysis, R, Python, data visualization, and wind turbine systems to deliver actionable insights to his team. Prior to his current role, Rohit worked for GE Renewable Energy, where he focused on forecasting and pattern recognition, and GE Transportation, where he developed predictive algorithms for the propulsion system and optimal trajectory generation for the Trip optimizer. He is passionate about continuous learning and skill development, and thrives on creating 'OO WOW' moments that inspire curiosity and excitement in others. Rohit is also an avid teacher, sharing his knowledge and expertise with others to help them achieve their goals. Outside of work, Rohit enjoys playing soccer and spending time with friends. He holds a Bachelor's degree in Electrical Engineering from the West Bengal University of Technology and a Master's degree in Instrumentation and Control System from the National Institute of Technology, Calicut. Rohit has worked with various companies, including deepkapha.ai and Utopus Insights, where he led the Climate AI research vertical and developed an AI-based solution to make wind power generation more predictable, respectively. He has successfully developed and productized a short-term wind power forecast for the Australian energy market, resulting in a 26% reduction of penalty. Rohit's specialties include AI, research scientist, NLP, Python, ML, data scientist, integration, software engineer, and computer vision. He is always looking for new collaborative opportunities and is excited to connect with others who share his passion for statistics and data science.