Summary
Kevin Chang is a Senior Data Scientist based in Auckland with 11 years’ experience turning complex datasets into business-ready models and analytics products, particularly in financial services and public policy. He combines deep statistical rigour—grounded in a PhD in statistics and biological sciences—with practical delivery of scalable R-based tooling, including Rmarkdown automation and interactive Shiny apps. At ASB Bank he has validated critical risk and credit models for regulatory compliance, led customer-intelligence modelling and applied LLMs to unstructured feedback to inform NPS and product strategies. Previously he built microsimulation policy models for New Zealand’s Treasury and created reusable R packages and dashboards that accelerated decision-making across agencies. Colleagues rely on him for clear, audit-ready validation reports and for translating sophisticated methods into pragmatic, stakeholder-focused recommendations.
11 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Statistics and Biological Sciences, Doctor of Philosophy - PhD Statistics and Biological Sciences at University of Auckland