Ratneel Deo
Postdoctoral Researcher at University of Sydney
Sydney, New South Wales, Australia
Summary
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Senior🎓
Top SchoolRatneel Deo is a data-driven postdoctoral researcher and former PhD scholar with nine years’ experience applying deep learning, image analysis, and statistical modelling to ecological and agricultural problems. His doctoral work tackled biota classification in deep-sea imagery and reef core segmentation, and he is now leading a data-farming project at the University of Sydney that blends image segmentation with remote sensing to improve farming applications. Comfortable with software development and challenges like class imbalance and uncertainty quantification, he also brings earlier research on time-series prediction using recurrent networks and evolutionary computation. Based in Sydney, he combines academic rigor with practical teaching and mentoring experience from roles across the Pacific, and he seeks collaborative opportunities to translate data science into measurable environmental and agricultural impact.
9 years of coding experience
1 year of employment as a software developer
Saraswati CollegeMaster of Science - MS, Computing Science, Master of Science - MS, Computing Science at The University of the South Pacific
English, HindiGithub contributions (5)
rvdeo/multicore_parallel_temp_mixturemodel
Jan 2018 - Jan 2019
Contributions:16 commits, 13 pushes, 1 branch in 1 year
rvdeo/fnn_sgd
Nov 2017 - Dec 2018
Contributions:5 pushes, 1 branch in 1 year
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