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Hi, welcome!
I'm Rafael Greca Vieira
Machine Learning Researcher
I am interested in Machine Learning, Deep Learning, Python, Natural Language Processing, Signal Processing, Algorithms, MLOps, and applications in mental health. Right now, I am studying about MLOps, Natural Language Processing, and PyTorch. In my spare time, I like to play (and watch) basketball and soccer, learn new languages (currently, I am improving my English and planning to learn Italian!), watch horror and thriller movies, and work on personal projects. Enjoy your stay!
Lastest projects
MLflow with Natural Language Processing

MLflow with Natural Language Processing
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In this project, we trained a Random Forest, XGBoost, and a BERT model to predict movies' genres based on their descriptions using an IMDb dataset hosted on Kaggle's website. Its main goal was to understand the applicability of the MLflow framework and how to use it to track different models during the training and evaluation steps, while also learning about the model's versioning and registry.

MLOps NLP MLflow Python Text Classification Deep Learning Machine Learning
Disaster Tweet Classification

Disaster Tweet Classification

This project aims to create a Deep Learning model designed to tackle Natural Language Processing with Disaster Tweets competition proposed by Kaggle. However, it's not focused on training and evaluating different algorithms to see which has a better performance on Kaggle's ranking, but rather on building an application using Flask and Docker to use the training dataset to build and train a BERT model and then use it to make predictions on the test dataset.

NLP MLflow Python Flask Text Classification Deep Learning Machine Learning
Speech Emotion Recognition using Deep Learning and Discrete Wavelet Transform

Speech Emotion Recognition using Deep Learning and Discrete Wavelet Transform

A deep learning solution using Convolutional Neural Networks and Wavelet Transform to tackle the Speech Emotion Recognition task. Repository dedicated to the developed solution for the end-of-course work of the University of São Paulo's Master in Business Administration (MBA) in Artificial Intelligence and Big Data program.

NLP Speech Emotion Recognition Python Wavelet Transform Deep Learning