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RSO9192/README.md

👋 Hi, I'm Riccardo

🚀 Passionate about climate analytics, AI, and sustainable development.
I work on building tools and frameworks that bridge geospatial data, machine learning, and policy impact – especially around environmental, social and climate risk.

🌱 What I'm Working On

  • 🌍 CAVA framework – Democratising access and usability of climate information
  • 📊 Open-source tools – reproducible workflows for climate risk & ESS

🛠️ Tech Stack

  • Languages: R | Python | Bash (if really needed)
  • Geospatial: Google Earth Engine | terra | xarray
  • DevOps: Docker | GitHub Actions | Conda/Poetry

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  1. Risk-Team/AquaCropPlotter Risk-Team/AquaCropPlotter Public

    AquaCropPlotter is an R Shiny app for processing and visualizing FAO AquaCrop model output files.

    R 6 1

  2. Risk-Team/CAVAanalytics Risk-Team/CAVAanalytics Public

    CAVAanalytics is a comprehensive framework for climate data analysis, offering streamlined access to data, advanced processing and visualization capabilities. It is designed to support a wide range…

    R 14 2

  3. Risk-Team/cavapy Risk-Team/cavapy Public

    Retrieval of climate data available through the FAO-CAVA project

    Jupyter Notebook 10 6

  4. web-scout-ai web-scout-ai Public

    Agentic web research tool. Smarter than search, faster than deep research. Search, scrape, and synthesize web content using any LLM. One async call, structured output, full source attribution.

    Python 1