Rakshitha Godahewa is a Forecasting Lead based in Melbourne with 11 years of industry experience combining software engineering and advanced time-series research to deliver production-ready forecasting solutions for the energy sector. With a PhD in Time Series Forecasting and Machine Learning from Monash University and postdoctoral work that partnered with Meta and Tokopedia, she bridges cutting-edge research—publishing and peer-reviewing for top venues—with hands-on engineering using R, Python and scalable software practices. She has led forecasting science roles at jahan.ai and now AusNet while maintaining software development roots from senior engineering positions, enabling her to translate complex models into reliable operational systems. Known for ensemble and global modelling expertise, she also trains industry professionals and has a track record of industry collaborations (Honeywell, Tokopedia) that drive measurable business impact.
11 years of coding experience
7 years of employment as a software developer
BCS, The Charted Institute for IT
Sri Sumangala Girls' School
Gateway School of Computing
International Computer Driving License
Institute of Western Music & Speech
Associated Board of the Royal Schools of Music
B.Sc. Engineering (Hons), Computer Science and Engineering, First Class, 4.01/4.2 Grade Point Average, B.Sc. Engineering (Hons), Computer Science and Engineering, First Class, 4.01/4.2 Grade Point Average at University of Moratuwa
Doctor of Philosophy - PhD, Time Series Forecasting and Machine Learning, Doctor of Philosophy - PhD, Time Series Forecasting and Machine Learning at Monash University
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