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John Waweru

John Waweru

Softwareentwickler

Geospatial Data Scientist | Python, Google Earth Engine & GeoAI Enthusiast

About Me

I am an analytically-minded Geospatial Data Scientist with over 8 years of international experience specializing in Topographic Information Management and Remote Sensing. Currently supporting the TIM-NRW system for the Cologne District Government, I focus on ensuring high-precision data quality and optimizing geospatial workflows. My background spans academic research with the German Aerospace Center (DLR) and large-scale industrial projects, including mapping Africa's largest wind park and the Standard Gauge Railway.

I specialize in:

  • Extracting actionable insights from satellite imagery and LIDAR data to support climate monitoring and infrastructure development.
  • Building automated workflows using Python (NumPy, Pandas, GeoPandas) and cloud-based analysis via Google Earth Engine.
  • Applying GeoAI and Machine Learning for land-use classification and environmental risk assessment.

I am passionate about bridging the gap between raw spatial data and strategic decision-making in land-use planning and environmental protection.

Let’s connect to discuss GeoAI, spatial automation, or collaborative GIS projects.

About

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Skills

  • GIS & Remote Sensing

    • QGIS, ArcGIS Pro, Google Earth Engine
    • GDAL / OGR, GRASS GIS
    • Multispectral and SAR image analysis
    • Cloud Native Geospatial (COG, STAC, Zarr)

  • Programming

    • Python — GeoPandas, NumPy, Pandas, Matplotlib
    • R — sf, terra, ggplot2
    • JavaScript — Leaflet, MapLibre GL
    • SQL, PostgreSQL + PostGIS

  • Machine Learning & GeoAI

    • Supervised classification — Random Forest, XGBoost
    • Deep learning for image segmentation — U-Net, SAM
    • scikit-learn, PyTorch, TensorFlow
    • Object detection in satellite imagery

  • Web Mapping & Data

    • Leaflet.js, Folium, MapLibre GL JS
    • Cloud storage — AWS S3, Google Cloud Storage
    • Data formats — GeoTIFF, GeoParquet, NetCDF
    • Streamlit for data-driven web apps

  • Data & Cloud

    • PostgreSQL + PostGIS
    • Cloud storage: AWS S3, Google Cloud Storage
    • Data formats: GeoJSON, GeoTIFF, NetCDF, Zarr, GeoParquet

  • Drone / UAV Data Processing

    • Point cloud processing: CloudCompare, PDAL

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