Summary
Pranoy Borah is a doctoral researcher and computational biologist with a decade of experience applying machine learning, Bayesian inference, and large-scale data analytics to ecological and biological problems. Based at NISER in Bhubaneshwar, he builds probabilistic models (MCMC), analytical pipelines, and predictive tools to wrangle complex environmental and biological datasets. His background in zoology from Gauhati University and the University of Mysore grounds his modelling in field-facing questions, informed by prior project work at the Wildlife Institute of India. Transitioning toward data science roles, he combines rigorous statistical methods with software-oriented workflows to turn noisy empirical data into actionable insight. Colleagues describe him as someone who bridges domain expertise and computational rigor, often prioritizing reproducible, open pipelines that scale from research to applied settings.
10 years of coding experience
Master of Science (M.Sc.), Zoology/Animal Biology, Master of Science (M.Sc.), Zoology/Animal Biology at University of Mysore
BSc, Zoology/Animal Biology, BSc, Zoology/Animal Biology at Gauhati University