Summary
Nirosha Priyadarshani is a Senior Data Scientist in Wellington with 11 years of experience combining research-grade machine learning, big data analytics, and domain expertise in ecology and biosecurity. She holds a PhD in Conservation Technology for automated birdsong recognition and has translated that research into practical tools and programs (e.g., contributions to AviaNZ) that solve noisy real-world acoustic monitoring problems. At MPI she has led technical analytics for biosecurity and food safety projects, advising operational teams and prioritising data-driven tasks under tight deadlines. Her background spans academia, government and industry, giving her a rare ability to move innovations from prototype to policy-informing production. Beyond standard data science skills, she brings deep signal-processing and speech-recognition expertise applied to wildlife conservation—an unusual intersection that fuels her passion for saving species through unobtrusive monitoring.
10 years of coding experience
14 years of employment as a software developer
Pinnawala Central College
Doctor of Philosophy (Ph.D.), Conservation Technology - Automated Birdsong Recognition, Doctor of Philosophy (Ph.D.), Conservation Technology - Automated Birdsong Recognition at Massey University
Master of Philosophy (MPhil), Computer Science (Speech Recognition), Master of Philosophy (MPhil), Computer Science (Speech Recognition) at University of Kelaniya Sri Lanka
English, Sinhalese