hi, I am
Prince Oppong Boakye
hi, I am
Prince Oppong Boakye
Researcher
Researcher
Developer
Developer
Scientist
Scientist
Geoinformatics • Spatial Epidemiology • Open Science
Applied geospatial modeling, reproducible research, and scalable health analytics/
about me/
Prince Oppong Boakye is a Geoinformatics and Spatial Data Science researcher specializing in spatial epidemiology, human mobility modeling, and infectious disease risk mapping. My work integrates multi-source population flow datasets with Bayesian spatiotemporal modeling to understand disease transmission dynamics at fine spatial scales.
technical skills/
Programming & Development
Python, R, JavaScript, HTML/CSS, PHP, SQL, Bash.
Experienced with React, WordPress, and modern web
development frameworks. Building data-driven applications and automation tools.
Geospatial Analysis
QGIS, Google Earth Engine.
Spatial data analysis, geostatistics, raster/vector processing,
Spatial Information Infrastructure, and geospatial database management.
Research & Reproducibility
CODECHECK workflow development, FAIR data management,
scientific writing in LaTeX, version control with Git/GitHub,
Zenodo archiving, and open-source research collaboration.
Certifications & Tools
CompTIA A+ via Allison,
Strategic Thinking via Linkedin,
Cyber Threat Intelligence via Cybrary,
Career Crash Course - Network Engineering via Cybrary,
Ethical Hacking via Tutorial Point,
C Course via Solo Learn.
my education/
MSc Geoinformatics
University of Münster (WWU), Germany
Oct 2024 – Present
Focus on spatial data science, geostatistics, and machine learning.
Thesis: Simulating Fine-Scale Population Flow for Infectious Disease Transmission Modelling.
BSc Computer Science
Bharathiar University, India
Dec 2020 – Jun 2023
Foundation in computer science, algorithms, data structures, database systems, and software engineering.
Diploma in Computer Networking - Revised
Alison – Online Learning
2020
Foundations in network architecture, TCP/IP, routing and switching, network security, troubleshooting, and enterprise infrastructure configuration.
how I work/
- I combine spatial statistics, GIS, and data engineering with programming to build scalable health-analytics pipelines
- Every analysis I produce ships with a CODECHECK-ready package — code, data, and environment — so results can be independently verified end-to-end
- I actively seek innovative opportunities where spatial technology intersects with science and society to drive sustainable socio-economic development
- My broader interests lie in computational public health, mobility-driven risk modeling, and building open decision-support tools for epidemic preparedness
Research with
intelligence,
deliver with
love
where I'm based/
Münster, Germany – the heart of geoinformatics research
work experience/
RESEARCH
ASSISTANT
CODECHECKER
awards & honors/
- Award for Academic Excellence – Awarded in Rathinam College of Arts and Science, India, for being the Class Topper in B.Sc. Computer Technology Department.
- International Paper Presentation on Recent Trends In IT, ICT Academy International Conference – For successfully participating in and delivering a paper titled "Sentiment Analysis in Python Using Machine Learning" at the International Conference on Current Developments in Computer Science, Engineering, and Information Technology, I was awarded a certificate. My paper was accepted and published.
- Best Delegate for UNICEF, International Model United Nations – The "Best Delegate" award is given to the delegate who performs, prepares, and is the most knowledgeable in the entire committee. Receiving the Best Delegate award is typically accompanied by receiving the gavel that the chairs used to moderate the debate, thus termed "Gaveling."
- Platinum Membership, International Model United Nations – I received Platinum Membership at IMUN for actively participating in 4 IMUN conferences, recognized as a top delegate, team player, and one of the top candidates for IMUN Dais.
about my work/
see my projects
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see my projects
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