I started my geospatial journey during my undergraduate studies in Physics, where I worked on environmental modeling and renewable energy projects. That curiosity for understanding how our world works through data eventually led me to pursue a Master's in Geography at the University of Waterloo, where I specialized in geomatics, spatial data handling tools, and advanced remote sensing systems.
Since then, I've built over three years of applied experience delivering geospatial solutions for environmental, infrastructure and planning projects. I've handled a wide range of geospatial data — including municipal survey datasets, GPS field data, aerial photography, optical and radar satellite imagery (Sentinel-1 & Sentinel-2) and LiDAR point cloud data.
I have led projects ranging from deforestation risk modeling for REDD+ carbon offset programs in West Africa to developing automated geospatial workflows and interactive web mapping solutions. My technical toolkit includes ArcGIS Pro, ArcGIS Online, QGIS, Carto, and FME for cartography, spatial analysis, map projections, elevation modeling, and ModelBuilder scripting; Survey123 and Field Maps with ArcGIS Enterprise for real-time web mapping; PostgreSQL/PostGIS for geodatabase management and querying; Python for spatial data automation and analysis (GeoPandas, GDAL, Rasterio, NumPy, scikit-learn, Matplotlib); R with Shiny and Leaflet for visualization and web mapping; and other remote sensing softwares like ESA SNAP, ENVI and ERDAS Imagine for working with optical, aerial, and satellite imagery.
I am passionate about using geospatial technology not just to map the present, but to anticipate risks, guide infrastructure development, and support sustainable decision-making.
Delivered forest cover benchmark maps and jurisdictional deforestation risk models adopted by Liberia's Forestry Development Authority and partner NGOs for REDD+ planning and reporting. These products supported Verified Carbon Unit (VCU) estimation under Verra's VM0048 and VT0007 methodologies, directly contributing to international carbon...
Project Area - Greater Toronto AreaSoftwares used - ArcGIS Pro, PostgreSQL, RStudio The project was published as a web application built with RStudio's Shiny and Leaflet packages, accessible at the provided link.
Master's Major Research Project – University of Waterloo Supervisor: Dr. Jonathan LiPlatforms and tools: PDAL for LiDAR preprocessing, Python (PyTorch) for deep learning implementation
During my tenure as a GIS Technician, I contributed to several municipal and site-level planning projects using AutoCAD Map 3D. These projects involved transforming engineering and survey data into clean, geospatially accurate base maps and visual products used for decision-making, stakeholder engagement, and permitting support.
I'm always open to discussing new opportunities, collaborations, or just connecting with fellow GIS professionals. Feel free to reach out!