Welcome to my GitHub profile, where I showcase my projects and contributions in Environmental Management with Geotechnologies.

I am actively learning and developing projects that apply advanced geospatial analysis and machine learning techniques to address real-world challenges. My work spans several domains, each leveraging data science and engineering tools.

• Deforestation & Land Degradation
  Monitor deforestation and land degradation using multi-sensor remote sensing, time series analysis, and change detection algorithms.

• Agricultural Analytics
  Evaluate crop health, estimate yields, and assess agricultural risks by harnessing multispectral and radar data.

• Climate & Weather Analysis
  Analyze precipitation, temperature, evapotranspiration, and drought indices to understand climate patterns and inform decision-making.

• Fire Monitoring
  Detect active fires, map burned areas, and evaluate post-wildfire recovery using remote sensing techniques.

• Water Resource Management
  Conduct hydrological and water quality analyses, perform flood risk assessments, and build watershed models to support sustainable water resource management.

• Pipelines Engineering
  Design and build scalable geospatial ETL/ELT pipelines utilizing Databricks, DuckDB, and PySpark for efficient data processing.

• Spatial Database Design
  Develop spatial datalakes and data warehouses with PostgreSQL/PostGIS and Google Cloud Platform to store and manage geospatial data.

• ML Lifecycle Management
  Manage machine learning workflows with MLflow for robust experiment tracking, model versioning, and deployment.

• Interactive Dashboards
  Create interactive web applications and dashboards using Google Earth Engine and Streamlit to visualize geospatial insights.

I’m always open to collaboration. Feel free to fork repositories, submit pull requests, or reach out via social media for partnerships or feedback.