I built and maintained GeoMap, an internal geospatial product for geothermal and subsurface opportunity assessment, comprising 250+ global layers and a metadata database. I developed Python raster and vector pipelines for data harmonisation and QA/QC, reducing processing time per layer from about one day to a few hours.
My research has included global vegetation analysis using K-means clustering and forest biomass estimation using regression. I also carried out coding and analysis for a collaborative study connecting CMIP6 climate projections with offshore wind project economics.
