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View ujjwalks96's full-sized avatar
🎯
Learning :)
🎯
Learning :)
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ujjwalks96/README.md

Geospatial AI Data & Policy Analyst | Data Analytics

Typing SVG


I transform satellite data into actionable intelligence, building scalable geospatial ML pipelines on cloud infrastructure to drive evidence-based policy decisions for sustainable development.


🛰️ Satellite Imagery Processing • 🤖 Geospatial Deep Learning • ☁️ Cloud ML Pipelines • 📊 Policy Analytics • 🌍 Sustainable Development


🛰️ Mapping Intelligence from Space to Policy

☁️ Cloud Infrastructure | 🤖 ML/DL | 🌍 Earth Intelligence

🌐 Geospatial Technology Stack

💻 Languages & Core Technologies

🛠️ Frameworks & Tools

Python
Python
GeoPandas • Rasterio • GDAL 		TensorFlow
ML/DL
TensorFlow • PyTorch • Scikit-learn 		GCP
Cloud
GCP • AWS • Azure 		Spark
Big Data
Spark • Dask • PostGIS

🗺️ Geospatial Specializations

🛰️ Remote Sensing & Earth Observation

  • Sentinel-2 & Landsat Analysis
  • SAR (Synthetic Aperture Radar)
  • Multispectral Imaging
  • Time Series Analysis

🤖 Geospatial ML/AI

  • Semantic Segmentation
  • Object Detection in Satellite Imagery
  • Change Detection Algorithms
  • Spatial-Temporal Modeling

☁️ Cloud Geospatial Architecture

  • Google Earth Engine
  • Planetary Computer
  • Cloud-Optimized GeoTIFFs (COGs)
  • Serverless GIS Solutions

📊 Policy & Analytics

  • Environmental Policy Analysis
  • Urban Planning & Growth Modeling
  • Climate Data Analysis
  • SDG Monitoring & Reporting

☁️ Cloud & Infrastructure

🏗️ Building Scalable Earth Intelligence Platforms

class GeospatialDataEngineer:
    def __init__(self):
        self.role = "Geospatial AI Data & Policy Analyst"
        self.cloud_platforms = ["GCP", "AWS", "Azure"]
        self.geospatial_tools = [
            "QGIS", "ArcGIS", "Google Earth Engine", 
            "GDAL", "GeoPandas", "Rasterio", "Folium"
        ]
        self.ml_frameworks = ["TensorFlow", "PyTorch", "Keras", "XGBoost"]
        self.databases = ["PostGIS", "MongoDB", "BigQuery", "Snowflake"]
        
    def daily_workflow(self):
        return [
            "🛰️ Process satellite imagery at scale",
            "🤖 Train geospatial deep learning models",
            "☁️ Deploy ML pipelines on cloud infrastructure",
            "📊 Analyze spatial patterns for policy insights",
            "🌍 Contribute to sustainable development goals"
        ]

🎯 Current Focus Areas

🛰️ Remote Sensing AI

Developing deep learning models for:
• Land use/land cover classification
• Deforestation monitoring
• Urban growth analysis
• Disaster response mapping

☁️ Cloud-Native GIS

Building scalable systems with:
• Serverless geospatial APIs
• Real-time satellite data processing
• Cloud-optimized raster formats
• Distributed spatial computing

🌍 Key Areas of Impact

🏆 Certifications & Credentials

View All Certifications

Google Cloud Platform Certifications

Professional Cloud Architect Professional ML Engineer Associate Cloud Engineer Cloud Digital Leader

Professional Cloud Architect | Professional ML Engineer | Associate Cloud Engineer | Cloud Digital Leader

Geospatial & Other Platform Certifications

ArcGIS Developer Foundation Azure Developer Associate

ArcGIS Developer Foundation 2201 | Azure Developer Associate

Oracle Cloud Infrastructure Certifications

Oracle Analytics Cloud Professional OCI Architect Associate OCI Foundations Associate

Oracle Analytics Cloud Professional | OCI Architect Associate | OCI Foundations Associate

🔗 Connect & Collaborate

LinkedIn Email Email Alt

💬 "Turning satellite pixels into policy insights, one cloud deployment at a time"

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