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Achievement: QuickdrawAchievement: Pull SharkAchievement: Arctic Code Vault Contributor

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ramongss/README.md

👋 > Hello, World!

I am Ramon, a Ph.D. in Artificial Intelligence and Data Science 🎓 and currently working as a Research Professor at the Industrial and Systems Engineering Graduate Program at PUCPR👨‍💻.

📃 Research Focus

My research focuses on applying machine learning and artificial intelligence techniques to time series forecasting 📈. I've worked on a variety of use cases, including:

  • Wind Energy Forecasting in Brazilian wind farms [1, 2].
  • COVID-19 Case Forecasting with meteorological data in Brazil and the USA [3].
  • Retail Sales Forecasting for supply chain management [4].
  • Bitcoin Price Analysis over time [5].

😄 Pronouns

He/Him.

🌱 Always Learning

  • 🐍 Python
  • 🔵 R #rstats
  • 🔢 Statistics and Data Science
  • 🤖 Machine learning (caret, tidymodels, scikit-learn, etc.)
  • 📈 Data visualization (ggplot2, tidyverse, etc.)
  • ☁️ Cloud Services

📫 Get in Touch

💬 Ask Me About

  • Pretty much anything...1

1 Correct answers not guaranteed 😅.

⚡ Fun Fact

  • Huge Star Wars fan (still recovering from the last trilogy...)
  • Released a couple of singles as a guitarist -- listen on Spotify 🎸

Visitors count

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  1. 2025-IJCNN-UrbanWaterConsumption 2025-IJCNN-UrbanWaterConsumption Public

    💧 Hybrid Machine Learning Models Applied to Daily Urban Water Consumption Prediction

    R

  2. 2022-IJEPES-WindSpeed 2022-IJEPES-WindSpeed Public

    ⚡ Multi-step short-term wind speed forecasting based on multi-stage decomposition coupled with stacking-ensemble learning approach

    R

  3. 2022-ICPR-BetahCGTest 2022-ICPR-BetahCGTest Public

    🤰 🧪 Beta-hCG test demand forecasting using stacking ensemble-learning and machine learning approaches

    R

  4. 2021-ENERGY-WindEnergy 2021-ENERGY-WindEnergy Public

    ⚡ A novel decomposition-ensemble learning framework for multi-step ahead wind energy forecasting

    R 1