Geomatics professional, with a passion for using spatial technology to solve real-world environmental and social challenges. My work spans GIS analysis, LiDAR processing, remote sensing, and field surveying - with a particular focus on combating illegal mining, resolving land disputes, and promoting sustainable land management in Ghana and beyond. I bring hands-on experience from telecommunications, data analytics, and community-based mapping projects. I am driven by the belief that geospatial tools can empower communities and drive meaningful, lasting change.
University of British Columbia – Urban Nature Design Research Lab • May 2026 - Present • Vancouver, BC
Supporting geospatial research on urban blue-space accessibility in Metro Vancouver by developing reproducible workflows for spatial data cleaning, quality checks, workflow documentation, accessibility analysis, and integration of waterfront park, Census, and Mapbox datasets for spatial and statistical analysis.

Telecel Ghana • Sept 2024 - July 2025 • Accra, Ghana
Managed data quality control for telecommunications systems serving 6M+ subscribers. Developed Python scripts (Paramiko, Pandas) to automate data collection and monitoring. Processed Call Data Records (CDRs) and contributed to the ETL pipeline for a customer loyalty platform. Produced weekly technical reports analyzing system performance.

Deep Metrics Inc. • Oct 2022 - Dec 2022 • Missouri, USA (Remote)
Processed large-scale datasets for computer vision and transportation analytics. Conducted quality assurance on field-collected data and prepared annotated datasets for AI model training. Contributed to model evaluation pipelines for detecting moving vehicles and pedestrians.

Town and Country Planning Department • Oct 2021 - Dec 2021 • Asamankese, Ghana
Conducted field surveys using GPS and total stations for cadastral mapping and boundary delineation. Prepared site plans and technical drawings using AutoCAD for municipal planning projects. Performed spatial analysis of land records to identify encroachment patterns and documentation gaps. Integrated GPS field data into GIS databases and created maps for land-use planning.
Processed multi-temporal airborne LiDAR point cloud data spanning 10 years (2012–2022) to assess forest canopy gap dynamics and structural changes. Created derived products including Digital Elevation Models (DEMs) and Canopy Height Models (CHMs) using R-based geospatial workflows and spatial statistics.
Built a full airborne LiDAR processing pipeline in R for UBC's Alex Fraser Research Forest - from raw point cloud normalization through CHM generation, plot-level metric extraction, forward stepwise regression modeling, and wall-to-wall spatial prediction. Produced 10 m resolution maps of aboveground biomass and dominant height.
Built a terrain-based geohazard index for harvested cutblocks in central British Columbia using a 30m DEM. Derived slope, TWI, RTPI, flow accumulation, and aspect layers in Python with WhiteboxTools, reclassified each into hazard classes, and combined them via a weighted sum. Results showed cutblocks predominantly occupy low-to-moderate hazard terrain.
Co-developed a web-based GIS navigation application for over 85,000 campus users at KNUST, featuring real-time routing, building search, and points of interest. Conducted extensive GPS field data collection and managed the spatial database of road networks and campus infrastructure.
Collaborated on the development of GSuite, a Python-based desktop application for geomatics and geospatial computations. Contributed to implementing tools for surveying calculations, coordinate transformations, geometry operations, and geospatial file conversions. The application provides an interactive graphical interface that streamlines common geomatics workflows for spatial data processing.
University of British Columbia • May 2025 – April 2026
MCF Scholarship | Capstone: Multi-temporal airborne LiDAR analysis of forest canopy gap dynamics (2012–2022). Relevant coursework: Remote Sensing, Spatial Statistics & Modeling, GIS for Environmental Management, R and Python Programming.
Cumulative Average: 94.6%

Kwame Nkrumah University of Science and Technology • January 2021 – August 2024
Thesis: Design and Implementation of a Campus Navigation System at KNUST. Relevant courses: GIS, Remote Sensing, Geodetic Surveying, GNSS, Cartography, Photogrammetry.
CGPA: 3.94/4.0 | Top 1% of 166 students

Geographic Information Systems & ArcGIS Pro
ESRI Training • 2025

Remote Sensing
ESRI Training • 2025

Integrate Data with the FME Platform
FME Academy • 2025

Innovation for African Universities Training
IAU • 2023