Maneesha Perera is a forecasting and analytics lead with 9 years of experience applying time series forecasting, deep learning, and data science to hard energy problems like rooftop solar generation and electricity demand forecasting. She bridges academia, startups, and industry—holding a PhD from the University of Melbourne, an honorary research fellow role, and leadership positions at Solstice AI and EnergyAustralia—bringing both research rigor and product delivery experience. Her work spans model development, hierarchical forecasting, and operational deployment, with a track record of improving small-scale PV forecasts during internships at IBM Research. Passionate about renewable integration, she co-founded a startup focused on identifying rooftop solar from satellite imagery and translating that into actionable forecasts. Outside of work she mentors and volunteers to support the next generation of women in STEM, reflecting a commitment to building both technical solutions and community.
9 years of coding experience
5 years of employment as a software developer
Bachelor of Science (Honours) Computer Science, Bachelor of Science (Honours) Computer Science at University of Colombo School of Computing
Physical Sciences, Physical Sciences at Visakha Vidyalaya Colombo
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Maneesha Perera - Forecasting & Analytics Lead at Solstice AI