Summary
Shivapratap Gopakumar is an Associate Professor and applied machine learning practitioner with a decade of experience turning complex biomedical, agricultural, and market datasets into actionable predictive models. He combines academic rigor from a PhD in Applied Machine Learning with hands-on industry delivery for clients like Barwon Health, Garvan Institute and government IT projects, building models in R and Python and applying Bayesian optimisation to automate experiment design. His work spans genomics-based predictors, hospital patient-flow forecasting, and smart-farm analytics for animal wearables, and he has led data science teams as well as taught core CS subjects to undergraduates and graduates. Known for extracting domain-aware features from messy real-world data, he also creates visualization tools to make genomic and clinical insights accessible. Based in Kerala, India, he blends research publications with practical deployment experience, bridging academia and industry to create self-reliant, impact-focused ecosystems.
10 years of coding experience
14 years of employment as a software developer
M.Tech, Computational Engineering, M.Tech, Computational Engineering at Amrita University
Doctor of Philosophy - PhD, Applied Machine Learning, Doctor of Philosophy - PhD, Applied Machine Learning at Deakin University
B.Tech, Computer Science, B.Tech, Computer Science at Cochin University of Science and Technology
Malayalam, Hindi, English