Programming & Data
Python and core data-science tools for analysis and modeling.
Python
Pandas
NumPy
Scikit-learn
GEOSPATIAL • DATA • ENVIRONMENT
Hello, I'm Godslove Ahortor
Aspiring Spatial Data Scientist | Geographer | GIS Analyst | Climate Change Researcher | Data Analyst.
I use geospatial technologies, data analysis, and spatial thinking to turn location-based data into insights for environmental and development challenges.
Geospatial & Data Analytics
SELECTED WORK
Featured Projects
A selection of analytical and geospatial projects demonstrating data wrangling, spatial analysis, visualization, and statistical reasoning.
Geospatial Analysis
Healthcare Accessibility
This project examines healthcare accessibility in the Greater Accra Region of Ghana using travel-time analysis and population distribution.
82.38%
of the population falls within the 8-minute accessibility range
Explore project
Data Analysis
London Bike Sharing Analysis
Analysis of TfL Cycle Hire data from August 2023, covering data wrangling, exploratory analysis, and hypothesis testing.
5–7 PM
peak demand period identified in the analysis
View on GitHub
TOOLKIT
Technical Skills
Geospatial
Spatial analysis, mapping, raster processing, and GIS workflows.
QGIS
ArcGIS
GeoPandas
Rasterio
Visualization
Communicating analytical results through clear visual outputs.
Matplotlib
Seaborn
Power BI
Data & Databases
Working with structured datasets and analytical data workflows.
SQL
Data Wrangling
Statistical Analysis
ABOUT ME
Geography meets data.
A motivated GIS Analyst with a solid academic background in Geography and a growing specialisation in spatial data science.
Passionate about harnessing geospatial technologies to support sustainable development, policy-making, and strategic partnerships. Experienced in spatial analysis, data visualisation, and mapping using tools such as ArcGIS, QGIS, and Python.
I am committed to applying spatial insights to address environmental challenges and promote data-driven decision-making.
Spatial thinking
Combining geographic context with analytical methods to understand patterns, relationships, accessibility, and environmental change.
GET IN TOUCH
Let's Connect
Interested in geospatial analysis, data science, or environmental research? Feel free to reach out.