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CarlosGabrielModesto/README.md

About

Master’s student in Agricultural Engineering at UNESP, focused on machine learning for anomaly detection in solar irradiance time series. CNPq scholarship recipient with experience in Big Data, ETL pipelines, and time series analysis.

🔐 Patent co-inventor • 📰 Author/co-author of 5+ papers • 🎓 Azure- and Google Cloud-certified

Tech Stack

Languages: Python • Java • C++ • SQL
ML/Data: TensorFlow • Pandas • Scikit-learn • NumPy
Cloud/Data Engineering: Azure • Google Cloud • Docker

GitHub contribution snake animation

Featured Projects

  • Solar Irradiance ML Pipeline — Machine learning pipeline for detecting extreme events in solar irradiance time series.
  • Big Data ETL — Production pipeline for large-scale solar measurement data using Python and Azure.
  • Computer Vision — Recyclable waste classification project using Azure AI.
  • IoT Monitoring System — Real-time UV radiation monitoring system related to patent BR512026000933.

GitHub Analytics

GitHub Streak

Carlos's GitHub stats Top Langs

Bridging Machine Learning and Agricultural Science

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