Joyce Kinyanjui

[email protected] • +254 796 861 199 • Nairobi, Kenya
GitHub: https://github.com/joycekinyanjui

PROFESSIONAL SUMMARY

Innovative GIS Developer with a Bachelor’s degree in Geoinformatics from Taita Taveta University. Skilled in spatial data analysis, remote sensing, and full-stack development for geospatial applications. Experienced in using modern technologies to create intelligent, data-driven solutions across environmental, agricultural, and urban domains. Passionate about transforming spatial information into actionable insight through creative problem-solving and technology.

WORK EXPERIENCE

GIS Developer
08/2025 - Present
Oakar Services Ltd
• Design, develop, and deploy GIS solutions for clients across multiple sectors
• Support spatial data visualization, analysis, and web/mobile GIS integration
• Collaborate with multidisciplinary teams to implement remote sensing and mapping workflows
• Utilize tools like QGIS, GEE, and PostGIS to optimize spatial datasets and ensure accuracy
• Develop internal tools and prototypes to improve project efficiency and client reporting
Intern
05/2024 - 07/2024
KenGen Geothermal, Olkaria , Olkaria
• Supported the GIS department in geothermal mapping and data processing
• Assisted in field data collection, digitization, and database management
• Contributed to geospatial visualization of geothermal energy sites and environmental zones
Freelance Mobile App Developer
Self-Employed
• Developed mobile applications tailored to local clients’ needs using Flutter and Firebase
• Designed intuitive interfaces focusing on accessibility and user experience
• Managed all stages of development — planning, coding, testing, and deployment

EDUCATION

Bachelor of Science in Geoinformatics
Taita Taveta University , Kenya

SKILLS

PROJECTS

AgriTrack – Agricultural Monitoring & GIS Tool
Technologies: Google Earth Engine, QGIS
• Built a cross-platform GIS tool integrating satellite data for crop health monitoring
• Used Google Earth Engine for geospatial analytics and QGIS for data processing
• Created an interactive dashboard for farmers to visualize weather patterns and vegetation indices
• Collaborated with developers to refine app functionality based on user testing
DadaCare – Cervical Cancer Companion
Technologies: Flutter, Google Maps API, AI risk prediction model, Dialogflow chatbot, EuropePMC API
• OTP-based patient login (no email required)
• Integrated Google Maps API to display nearby clinics and screening centers
• Built an AI risk prediction model suggesting screening intervals
• Developed a multilingual Dialogflow chatbot supporting voice input/output
• Designed a Doctor Dashboard for managing appointments, referrals, and inventory
• Integrated EuropePMC API for in-app access to live medical research papers
Face Recognition Security Dashboard (Python + Streamlit)
Technologies: Python, Streamlit, OpenCV, face_recognition
• Created a real-time face recognition system with OTBT (One-Time Biometric Token) logging
• Integrated OpenCV and face_recognition for secure access control
• Designed interactive dashboards for live monitoring and adjustable threshold analysis
Web Scraping & Data Automation Projects
Technologies: Python, Selenium, BeautifulSoup, NLP
• Developed Python scripts using Selenium and BeautifulSoup to automate extraction of GIS-related tenders, news, and job listings from Kenyan and international sites
• Designed logic for data cleaning, NLP-based entity recognition, and keyword-based filtering, saving results into CSV reports for analysis
• Implemented automated pipelines for geospatial intelligence gathering to support environmental, public health, and job market monitoring
Soil Degradation Mapping – Nakuru County
Technologies: Google Earth Engine, Remote Sensing
• Mapped and analyzed land degradation patterns using remote sensing techniques
• Employed GEE and spectral indices to assess vegetation health and soil exposure
Water Quality Mapping – Juja
Technologies: Google Earth Engine, Spatial Modeling
• Applied Google Earth Engine for temporal analysis of surface water quality indicators
• Generated spatial models and visualizations to track water pollution trends