Michael is a geospatial data scientist with strong skills in R and Python for data science, statistical modelling and geocomputation. His current expertise includes time-series modelling, regression analysis, computational causal methods, geospatial modelling and tree-based machine learning. Also proficient in FME, QGIS, ArcGIS and the full ESRI suite, and have experience cleaning and interpreting remotely sensed data.