Kiel Hards
Senior Data Scientist
Ministry for Primary Industries
Kiel is a Data Scientist within Biosecurity New Zealand (BNZ) with a background in Microbial Metabolism and Antibiotic Resistance. After postdoctoral work Kiel transitioned to Public Service, leveraging his experience in bioinformatics to establish a cloud-enabled Data Science environment on behalf of BNZ. Kiel uses Amazon Web Services, with R and Python, to automate workflows, update dashboards or apps (including Shiny) in real-time and create production-grade statistical or machine-learning models: all within a public-sector IT environment. He is passionate about natural language processing, DataOps and enhancing analytical team efficiency with automated solutions.
Breakout room: Crafting open-source data science environments
A productive and empowering data science environment within an organisation requires the orchestration of different tools, systems and processes, which span from IDEs, R / Python package management, hosting, security to data access and storage. It’s important these elements are well set up and embedded to enable data scientists, analysts or researchers to create valuable insights. Come join the discussion about critical factors, options and practices to better connect data, science and people.