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> 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

Ramon G. da Silva's Projects

2019-cbic-windenergy icon 2019-cbic-windenergy

:zap: Very short-term wind energy forecasting based on stacking ensemble | :oil_drum: Previsão da produção brasileira de petróleo com base em uma abordagem híbrida

2020-amazonrainforestfire icon 2020-amazonrainforestfire

:deciduous_tree::fire::deciduous_tree: Short-term forecasting of Amazon rainforest fires based on ensemble decomposition model

2020-chaos-covid19 icon 2020-chaos-covid19

:mask: Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil

2020-chaos-covid19climate icon 2020-chaos-covid19climate

:mask::thermometer::cloud_with_rain: Forecasting Brazilian and American COVID-19 cases based on artificial intelligence coupled with climatic exogenous variables

2020-ieee-bitcoinprice icon 2020-ieee-bitcoinprice

:moneybag: Multi-step ahead Bitcoin price forecasting based on VMD and ensemble learning methods | :sunny: Solar power forecasting based on ensemble learning methods

2020-insid-covid19 icon 2020-insid-covid19

:mask:Forecasting the cumulative cases of COVID-19 in four large brazilian cities using machine learning approaches

2021-energy-windenergy icon 2021-energy-windenergy

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

2021-springer-covid19mobility icon 2021-springer-covid19mobility

😷🚗🏙️ Ensemble learning models coupled with urban mobility information applied to predict COVID-19 incidence cases

2022-icpr-betahcgtest icon 2022-icpr-betahcgtest

:pregnant_woman: :test_tube: Beta-hCG test demand forecasting using stacking ensemble-learning and machine learning approaches

2022-ijepes-windspeed icon 2022-ijepes-windspeed

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

covid19-autoreports icon covid19-autoreports

:mask: COVID-19 daily reports from Brazil, automatically generated every day at 22:00h (UTC -3:00) using Github Actions.

covidbrasilbot icon covidbrasilbot

🤖 A Twitter bot that reports the number of confirmed cases and deaths by #COVID19 in Brazil using {rtweet} and Github Actions.

misc icon misc

:penguin: Random scripts

nvim icon nvim

My personal neovim configuration

qualiscapes icon qualiscapes

:mortar_board: Make available the preliminary 2019 Qualis CAPES

ramongss icon ramongss

:bust_in_silhouette: GitHub profile repository

tidytab icon tidytab

Create tidyverse-friendly tables of frequencies

tidytuesday icon tidytuesday

Code and plots for submissions to the #tidytuesday challenge

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