Summary
Pulindu Ratnasekera is a statistician and lecturer with nine years of experience applying advanced quantitative methods across academia, public health, and industry. He combines a PhD-level background in statistics with practical expertise in topic models, convolutional neural networks, functional data analysis, and Bayesian sampling to turn complex data into actionable insights. His work spans teaching and course coordination at major universities and applied data-analytic roles at institutions such as the Public Health Agency of Canada and the University of Toronto. Comfortable bridging technical and business perspectives, he also holds management accounting credentials (CIMA Passed Finalist), enabling him to evaluate problems through both statistical rigor and managerial relevance. Based in Bloomington, Indiana, he is actively developing research in statistical genetics, functional data and text analysis that informs both pedagogy and policy.
9 years of coding experience
9 years of employment as a software developer
Mahanama College
Bachelor of Science (B.Sc.), Statistics, Bachelor of Science (B.Sc.), Statistics at University of Sri Jayewardenepura
Passed Finalist, Management Accounting, Passed Finalist, Management Accounting at Chartered Institute of Management Accountants (CIMA)
Doctor of Philosophy - PhD, Statistics, Doctor of Philosophy - PhD, Statistics at Simon Fraser University
Royal College Colombo