Here is my portfolio of projects, where you can see what I am working on and how I approach different kinds of problems.
Data Science Project Lifecycle with CRISP-DM
This project goes over an end-to-end Data Science project lifecycle following CRISP-DM lifecycle framework.
News Classifier with Multinomial Naive Bayes
Project to classify news headlines into categories like weather, politics, sports.
Regression Model Car Pricing App
This is a complete Regression Analysis Project to train a Random Forest Regression model to estimate prices of cars in Brazil.
Before and After AB Testing
An easy to follow guide to perform Before versus After Treatment AB tests in Python.
Text Sentiment Analysis App with Shiny and R
The project uses R Language to create a Shiny web application that reads a text and returns the word frequencies, Word Cloud and a graphic with sentiment analysis.
Predicting Results of the FIFA® World Cup 2022
I have created a model to predict the results of the FIFA World Cup games.
Flight Prices scraped, saved to SQLite and Send message via WhatsApp
The project uses R Language to create a Shiny web application that reads a text and returns the word frequencies, Word Cloud and a graphic with sentiment analysis.
Predicting The 30-Year Fixed Mortgage Rates with Time Series
This project uses Darts and LightGBM packages from Python to decompose, analyze, fit and predict the first months of 2025 of the 30-year Fixed Mortgage rates in the USA.
Movie Recommendation System with FastAPI + Streamlit
The project uses Python Language to create a full-stack movie recommendation system. The backend is built with FastAPI, while the front end piece is coded with Streamlit, with click tracking system and data stored in SQLite.
Project Documentation with MkDocs in Python
Documenting data projects is very important, as it gives the power to navigate the project, make it work as designed and solve eventual bugs.
