Magua Ted Mwangi

[email protected] • +254 790 858 431 • Nairobi, Kenya
LinkedIn: linkedin.com/in/magua-ted-mwangi • GitHub: github.com/maguated

PROFESSIONAL SUMMARY

A passionate GIS professional skilled in spatial mapping, data visualization, and geospatial technologies. Experienced in using Google API, ARCGIS, QGIS, and Python to transform spatial data into meaningful insights. Committed to delivering innovative geospatial solutions that drive decision-making and enhance operational efficiency.

WORK EXPERIENCE

GIS Developer
08/2025 - Present
Oakar Services Limited
• Developing advanced GIS applications and web mapping solutions
• Implementing spatial data analysis and visualization tools
• Creating custom mapping applications using modern web technologies
• Collaborating with cross-functional teams on geospatial projects
GIS Expert & Developer
02/2024 - 09/2024
Bolencour Africa Group Limited
• Developed web mapping solutions using React and Google Maps API
• Conducted spatial data analysis for decision-making
• Integrated APIs to automate workflows
• Provided technical support for GIS implementations

EDUCATION

Bachelor of Technology in GeoInformation Technology
01/2019 - 01/2024
The Technical University of Kenya
01/2014 - 01/2018
St. Mary's Boys Secondary School

SKILLS

PROJECTS

Interactive Route Visualizer
Technologies: Google Maps API, JavaScript, React
• Advanced web mapping application using Google Maps API for real-time spatial data visualization and route optimization
• Technologies: Google Maps API, JavaScript, React
• Features: Real-time route optimization, spatial data visualization
Spatial Analysis Dashboard
Technologies: Python, QGIS, Data Visualization
• Comprehensive dashboard for analyzing and visualizing geospatial data with interactive charts and real-time mapping
• Technologies: Python, QGIS, Data Visualization
• Features: Interactive charts, real-time mapping, data analysis
Geo-location Tracker
Technologies: Mobile Development, GPS, ARCGIS
• Advanced mobile application for location-based services and real-time geospatial data collection in the field
• Technologies: Mobile Development, GPS, ARCGIS
• Features: Real-time tracking, field data collection
Microloan Default Prediction System
Technologies: Machine Learning, Logistic Regression, XGBoost, Explainable AI, SHAP, Streamlit
• Developed a credit risk scoring model using machine learning (Logistic Regression, XGBoost) to predict microloan defaults with explainable AI (SHAP)
• Deployed as a Streamlit web app
Hospital Resource Forecasting Assistant
Technologies: Prophet, LSTM, Time-Series Forecasting
• Built a time-series forecasting model using Prophet and LSTM to predict hospital patient load and resource needs, supporting proactive health planning
Food Price Forecasting Dashboard
Technologies: Python, Prophet, Predictive Analytics
• Created a predictive analytics dashboard using Python and Prophet to forecast staple food prices, supporting policy and agricultural market stability

CERTIFICATIONS

GeoInformation Technology (B.Tech)
Technical University of Kenya
First Aid Training
St. John Ambulance
Emergency Response Coordination