The following are a few projects that I have worked on in my free time. They are in no particular order.
Nota Fiscal Goiana
Description: This project presents a complete solution to ETL the data from Nota Fiscal Goiana. It also presents the curated data in a Streamlit dashboard.
Stacks: Python, Power BI, Streamlit, SQLite, and Github Actions
Skills: ETL, Data Visualization, and Scraping
Credit Score Classification App
Description: This project cleans a credit score dataset, and builds and serializes a machine learning model. This ML model is used on a Streamlit app where you can enter fictional data and get a credit score classification.
Stacks: Python (pandas, seaborn, matplotlib, numpy, sklearn, and pickle) and Streamlit
Skils: Machine Learning, Data Cleaning, and Data Visualization
Personal blog
Description: A blog (where you are right now!) in that I write about what I’m learning, basically a portfolio.
Stacks: Hugo, Papermod theme, and Github Actions
Raio X - Entendendo o Tempo de Julgamento dos Processos Judiciais
Description: This project marked my team’s participation in the “Hackathon CNJ - Desafio Tempo e Produtividade”.
Stacks: R, RShiny, PostgreSQL, SQLite, and Machine Learning
Skills: ETL, Data Visualization, and Neural Network
Alura 1st Data Science Challenge
Description: This project presents my take on the first Alura Data Science Challenge. I was challenged to clean a dataset and predict the churn rate from imbalanced data.
Stacks: Python (pandas, seaborn, matplotlib, numpy, and sklearn)
Skils: Machine Learning, Data Cleaning, Imbalanced Data, and Data Visualization
Alura 2nd BI Challenge
Description: This project presents my take on the second Alura BI Challenge. It consisted of making three Power BI interactive reports. Each presented its challenge.
Stacks: Power BI
Skils: Data Visualization
