Skip to content
View ramongss's full-sized avatar
28 followers · 27 following

Achievements

Achievement: QuickdrawAchievement: Pull SharkAchievement: Arctic Code Vault Contributor

Achievements

Achievement: QuickdrawAchievement: Pull SharkAchievement: Arctic Code Vault Contributor

Block or report ramongss

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
ramongss/README.md

> Hello, World! 👋

I am Ramon, a PhD in Computational Intelligence at the Industrial and Systems Engineering Graduate Program - PUCPR 🎓 and Data Scientist at Banco Bradesco 💰👨‍💻.

I've been researching on applications of machine learning and artificial intelligence approaches for time series forecasting 📈. Some applications of forecasting in diverse datasets, such as: Wind energy of a turbine in a wind farm in Brazil [1, 2]; COVID-19 cases in Brazil and USA context coupled with meteorological variables [3]; Supply chain management (retail sales) [4]; and Cryptocurrency (Bitcoin) price over time [5].

😄 Pronouns

He/Him.

🌱 I'm Always Learning

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

📫 How to Reach Me?

💬 Ask Me About

  • Pretty much anything...1

1 Correct answers not guaranteed 😅.

⚡ Fun Fact

  • Star Wars' fan (still sad for the last trilogy)
  • I have a couple of singles with my former band as guitar player 🎸 on Spotify

Visitors count

Pinned Loading

  1. 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

  2. 2022-ICPR-BetahCGTest 2022-ICPR-BetahCGTest Public

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

    R

  3. 2021-ENERGY-WindEnergy 2021-ENERGY-WindEnergy Public

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

    R 1

  4. 2020-CHAOS-COVID19Climate 2020-CHAOS-COVID19Climate Public

    😷🌡️🌧️ Forecasting Brazilian and American COVID-19 cases based on artificial intelligence coupled with climatic exogenous variables

    R