Geospatial Data Engineer | Remote Sensing & Environmental Data Analytics

I’m a passionate Geospatial Data Engineer interested in building efficient, scalable, and reproducible geospatial workflows.
I love working at the intersection of data engineering, GIS, and environmental science, transforming raw spatial data into actionable insights for research and humanitarian applications.

• Remote Sensing & Change Detection:
  Sentinel-2, Landsat; supervised/unsupervised classification; land-use/land-cover (LULC) change analysis and validation.

• Geospatial Automation & Analysis:
  ArcGIS Pro, QGIS, ERDAS Imagine; automated ETL pipelines with Python (GeoPandas, Rasterio, GDAL, OWSLib).

• Database Management:
  PostgreSQL/PostGIS, DuckDB, ArcGIS Enterprise; spatial SQL, data QA/QC, and metadata standardization (FAIR principles).

• Machine Learning & NLP:
  Applying ML algorithms for spatial pattern recognition, clustering, and prediction.
  Experience with topic modeling (LDA, Doc2Vec), feature extraction, and model deployment using scikit-learn, gensim, and pandas.

• Visualization & Dashboards:
  Power BI, Streamlit, Plotly, ArcGIS Online; interactive maps, analytical dashboards, and technical documentation.

• Programming & Data Science:
  Python, R, SQL, Bash; machine learning with scikit-learn, data processing with Pandas and NumPy.

• Humanitarian & Environmental IM:
  Multi-source data harmonization, spatial analysis for disaster response, and coordination with global teams.

📍 Dresden, Germany
📧 sukantodas1993@gmail.com
🔗 LinkedIn • GitHub • mywebsite

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