Robert is an experienced data scientist with over seven years of experience working on detailed statistical analyses for large and complex datasets. Robert is skilled in geochemical spatial analyses, machine leaning models, and root cause analyses. In his career, he has produced map-based visualisations, developed internal and public R packages, performed high-level QA/QC on meteorological data, and created computer vision models. Robert also has a background in conducting soil sampling campaigns, including data validation and sampling design.
COVID-19
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