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Francisndiritu/README.md

πŸ‘‹ Hi, I'm Francis Ndiritu

πŸš€ GeoAI Engineer | Geospatial Data Scientist | Remote Sensing Specialist

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🧠 What I Do

  • 🌍 Transform satellite data into actionable insights
  • πŸ€– Develop GeoAI models for prediction & decision support
  • πŸ“Š Build end-to-end data pipelines (collection β†’ modeling β†’ visualization)
  • 🌱 Apply AI to climate resilience & digital agriculture

βš™οΈ Tech Stack

πŸ—ΊοΈ Geospatial & Remote Sensing

QGIS ArcGIS Google Earth Engine ENVI TerrSet


πŸ€– Data Science & Machine Learning

Python Pandas NumPy Scikit-learn GeoPandas Rasterio R TensorFlow PyTorch


πŸ“‘ Data Engineering & Tools

SQL PostGIS KoboToolbox ODK SurveyCTO


πŸ“Š Visualization

Matplotlib Seaborn Plotly GIS Dashboards

πŸ“ˆ GitHub Stats


πŸš€ Featured GeoAI Projects (Portfolio)

πŸ… GeoAI Pest Early Warning

πŸ“Œ ML-based pest prediction using EO + field data

πŸŒ„ Land Degradation Modeling

πŸ“Œ LULC mapping, BAU modeling & RUSLE analysis

🌽 Climate & Crop Prediction

πŸ“Œ ML modeling using climate + satellite data

🌐 AI-Assisted Mapping

πŸ“Œ AI-powered feature extraction & OSM validation

πŸ’Ό Experience Snapshot

  • 🧭 GIS Analyst – Nova Technologies (Somalia)
  • 🌍 Global Data Validator – Humanitarian OpenStreetMap Team
  • πŸ“Š GIS Project Manager – Geospatial Research International
  • πŸ—ΊοΈ GIS Intern – OpenStreetMap Kenya

πŸ“« Let's Connect


⚑ Value Proposition

I bridge the gap between geospatial science and AI, turning raw Earth Observation data into predictive, scalable, and impactful solutions.


⭐ Check out my repositories and let’s build the future of GeoAI together.

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  1. Machine_Learning Machine_Learning Public

    Flowers prediction

  2. Google-Earth-engine-machine-learning Google-Earth-engine-machine-learning Public