Skip to content
Zoraiz Lajwer

Zoraiz Lajwer

Researcher & GIS Analyst

Turning spatial data into insights | GIS | Remote Sensing | Python]

About Me

[Replace this paragraph with your own bio. Write 3–4 sentences covering: your background and what you specialize in, the kinds of problems you work on, the tools and methods you use, and what you are currently looking for. Example below:]

I am a geospatial data scientist with a background in remote sensing and machine learning. I work on extracting actionable insights from satellite imagery and large spatial datasets using Python, Google Earth Engine, and open-source GIS tools. I am passionate about applying GeoAI techniques to real-world challenges in land use mapping, climate monitoring, and urban planning. I am currently seeking opportunities in [YOUR TARGET ROLE] in [YOUR TARGET LOCATION].

About

View My Projects Download CV

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

    • Mission planning and flight operations
    • Photogrammetry: Agisoft Metashape, OpenDroneMap
    • Point cloud processing: CloudCompare, PDAL

Connect

GitHub LinkedIn