Summary
Neil Saunders is a data scientist with 15 years of experience turning large, messy datasets into actionable insight across government, academia and commercial healthcare. Based in Sydney, he combines a strong research pedigree (D.Phil. in Biochemistry) and deep bioinformatics roots with production-grade skills in R, Python, SQL and cloud data platforms to deliver reproducible, high-impact analytics. At NSW Department of Education he’s applied NLP, XGBoost and large-scale log analysis to improve student outcomes and deployed dashboards and models into operational use. Pragmatic about data quality and efficiency, he frequently builds tools (Shiny apps, REST services, microservices) that let teams self-serve analysis. Notably, his career bridges early genomics and proteomics research with modern education analytics, giving him uncommon domain breadth when designing data-driven experiments and trials.
16 years of coding experience
8 years of employment as a software developer
BSc, Biochemistry, First, BSc, Biochemistry, First at The University of Edinburgh
D. Phil., Biochemistry, D. Phil., Biochemistry at University of Oxford
English, Dutch