Phil Donovan

Associate

No name provided

Auckland, New Zealand

[email protected]

Master of Science (M.Sc.) Geography

Phil Donovan has over a decade of experience in spatial, health, and economic analysis, specialising in the application of advanced data science techniques to address complex issues. His technical ability includes SQL, R, Python, and GIS, has led to a significant amount of experience in enhancing data-driven decision-making across various sectors.

Phil’s expertise in spatial data science is theoretical and deeply practical, having led and contributed to numerous projects where spatial analysis was key to understanding and solving real-world problems.

Phil is an Associate at Principal Economics. Phil was a spatial and economic analyst at Geographic Business Solution and at MRCagney.

More information

Phil has notably contributed to public health initiatives, previously working with HealthNZ and the MoH. At HealthNZ, he spearheaded the development of the ‘nphsintel’ R package, which reduced code complexity by 75%, and accelerating analysis workflows, the implementation of this tool played a crucial role in managing the cryptosporidium outbreak in Queenstown.

His work also extends to pioneering spatial analytics for health outcomes. At the Ministry of Health, Phil developed R packages like ‘mohanalytics’ and ‘mohgeospatial’, which have automated many analytical tasks, increasing productivity and the ability to deliver insightful, actionable data analyses. These tools have been instrumental in projects focusing on accessibility and health in urban environments, directly impacting policy-making and public health strategies.

  • Extensive experience with SQL, R, Python, and GIS technologies.
  • Proficient in implementing database solutions for large-scale data analysis.
  • Engineering methodologies for integrating spatial analytics.
  • Cryptosporidium Outbreak Analysis, Queenstown: Played a pivotal role in data analysis for outbreak management.
  • Development of nphsintel R Package: Revolutionised data processes at HealthNZ by significantly reducing code complexity and accelerating analysis workflows.
  • National Policy Statement on Urban Development Capacity: Quantified regulatory impacts on urban land prices across New Zealand.