Proficient in ArcGIS, QGIS, Oracle, GeoScene for advanced spatial data processing and analysis., Deep understanding and practical experience with Python and GIS libraries such as GeoPandas, Rasterio, Arcpy, GDAL, OGR. Proficient in R for advanced visualization and spatial analysis using packages like ggplot2, tmap., Familiar with the fundamentals of machine learning, including techniques in regression and classification. Knowledgeable in the basics of deep learning, applying neural networks to spatial data analysis and predictive modelling., Knowledgeable in front-end technologies (HTML+CSS+JavaScript) and WebGIS development tools like ArcGIS API for JavaScript, OpenLayers., Skilled in using ENVI, IDL for remote sensing data processing and analysis, capable of extracting information from remote sensing images., 2, 1, 2A, True, True, 7.0, 4