JANICE A. OWUSU

JANICE A. OWUSU

Geomatics Professional & GIS Specialist

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Burnaby, BC
owusujanice799@gmail.com

About Me

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.

Programming Languages

PythonRSQLJavaScript

GIS Tools

ArcGIS ProQGISArcGIS OnlinePostGISLeafletOpenLayers

Remote Sensing

Airborne LiDARSatellite ImageryDEM CreationDrone2MapRasterio

Data Engineering

PostgreSQLPostGISMongoDBETL PipelinesData Quality Control

Field Tech

GPS/GNSSTotal StationsCadastral MappingAutoCAD

Other Tools

FMEGitMicrosoft OfficeLaTeXLinux

Experience

University of British Columbia – Urban Nature Design Research Lab

GIS & Spatial Data Project Assistant

University of British Columbia – Urban Nature Design Research LabMay 2026 - PresentVancouver, 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.

Tools: Python, GeoPandas, OSMnx, ArcPy, ArcGIS Pro, Git
Telecel Ghana

Junior Intelligent Network Operations Analyst

Telecel GhanaSept 2024 - July 2025Accra, 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.

Tools: Python, Pandas, Paramiko, Kafka, Nokia Surepay, Microsoft Excel
Deep Metrics Inc.

Data Analyst Intern

Deep Metrics Inc.Oct 2022 - Dec 2022Missouri, 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.

Tools: Python, Computer Vision Tools, YoloV5
Town and Country Planning Department

Geomatic Engineering Intern

Town and Country Planning DepartmentOct 2021 - Dec 2021Asamankese, 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.

Tools: GPS/GNSS, Total Stations, AutoCAD, ArcGIS, QGIS

Projects

Forest Canopy Gap Dynamics - Airborne LiDAR Analysis

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.

Tech Stack: R, lidR, ArcGIS Pro, Remote Sensing, Forest Ecology

LiDAR Forest Attribute Mapping - Alex Fraser Research Forest

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.

Tech Stack: R, lidR, terra, Stepwise Regression, Forest Inventory

Terrain Hazard Screening of Harvested Cutblocks - Central BC

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.

Tech Stack: Python, WhiteboxTools, Rasterio, GeoPandas, QGIS

Campus Navigation System - KNUST

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.

Tech Stack: Go, Python, TypeScript with React, PostgreSQL with PostGIS, QGIS, Leaflet

GSuite Geospatial Application

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.

Tech Stack: Python, PyQt5, GeoPandas, Fiona, Geopy, SimpleKML, Matplotlib, SQLite

Education

University of British Columbia

Master of Geomatics for Environmental Management (MGEM)

University of British ColumbiaMay 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

Bachelor of Science (First Class Honours) – Geomatic Engineering

Kwame Nkrumah University of Science and TechnologyJanuary 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

Certifications

ESRI Training

Geographic Information Systems & ArcGIS Pro

ESRI Training2025

ESRI Training

Remote Sensing

ESRI Training2025

FME Academy

Integrate Data with the FME Platform

FME Academy2025

IAU

Innovation for African Universities Training

IAU2023