About me
I’m Rajesh Dulal, a GIS Specialist with a background in civil engineering and a passion for using geospatial data to solve complex, real-world problems.
My journey started in Nepal, where I majored in GIS and Remote Sensing during my civil engineering degree. Early in my career, I worked on terrain modeling and road design for hydropower projects, using LiDAR and GNSS survey data to support infrastructure development. During this time, I co-developed a pumped-storage hydropower concept aimed at stabilizing Nepal’s electricity supply — a project that went on to win several national awards, including at HydroExpo 2019, Energy Hackathon 3.0, and the LITE Technical Exhibition.
Later, I joined RIMES as a Information and Disaster Risk Management Consultant, where I helped municipal governments implement early warning systems, conduct hazard mapping, and train local teams in ArcGIS workflows. I also contributed to field surveys and spatial analysis for flood-prone communities, ensuring local planning was informed by accurate, actionable data.
After moving to Canada, I pursued postgraduate diplomas in GIS Applications at Fleming College and Data Analytics at Durham College, where I deepened my expertise in automation, predictive analytics, and spatial data infrastructure. I collaborated with the City of Cambridge to modernize their open data portal using ArcGIS Hub, FME, and Python, and later supported Sustainable Cobourg by developing field-ready data collection tools for urban forest monitoring.
Throughout my career, I’ve remained deeply committed to public-focused geospatial work—whether it’s building dashboards, processing LiDAR data, or mentoring GIS hackathon teams. I believe that maps, when built right, can bridge the gap between data and decisions, and I’m always excited to take on projects that make spatial data more meaningful and impactful.
What I Do
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WebGIS Development
ArcGIS SDK/API for JavaScript, GoogleMaps API
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Data and Spatial Analysis
pandas, numpy, scikit-learn, ArcGIS Pro, ModelBuilder, ArcPy
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Remote Sensing Analysis
Google Earth Engine, PCI Geomatica Catalyst Pro
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Cartography
ArcGIS Pro, Adobe Illustrator, Avenza MapPublisher, Photoshop