Electrical Engineering Student at UFMG (Universidade Federal de Minas Gerais)

Hello! I'm Arthur Reis, a passionate Electrical Engineering student at UFMG, Brazil, with a strong interest in Machine Learning (ML), Deep Learning (DL), and Data Engineering. I started my journey in 2023 working with statistical software during my Scientific Initiation at CDTN (Centro de Desenvolvimento de Tecnologia Nuclear). Since then, I’ve been dedicating time to advancing my knowledge in these fields.

I have experience with a variety of traditional Machine Learning models such as:

• Linear Regression
• Logistic Regression
• K-Nearest Neighbors (KNN)
• Bayes Classifier
• Gaussian Mixture Models (GMM)
• Kernel Density Estimation (KDE)
• Neural Networks

I have also explored Unsupervised Learning algorithms, including:

• K-Means
• Expectation Maximization (EM)
• t-Distributed Stochastic Neighbor Embedding (t-SNE)
• Principal Component Analysis (PCA)

My primary focus has been on Computer Vision and Spatial Models, particularly with Convolutional Neural Networks (CNNs). Some of the projects I’ve worked on include:

• Disease prediction models
• Autonomous driving simulator
• Pest identification in agriculture

In addition, I’ve delved into Sequential Models such as RNNs, LSTMs, and GRUs, and have completed projects like stock market predictions. Recently, I’ve been studying Generative AI and neural architectures like Transformers and BERT.

I'm deeply curious and enthusiastic about learning and contributing to the world of technology. Below are some of my projects.

I am proficient in the following programming languages and tools:

I am proficient in English (Advanced). Here’s a badge that represents my level:

Below are some of the key projects I’ve worked on:

• Disease Prediction Model: A machine learning model to predict disease occurrences based on various features.
• Autonomous Driving Car Simulator: A simulation project for autonomous car navigation using computer vision and deep learning techniques.
• Pest Identification in Agriculture: A CNN-based model for detecting and identifying pests in agricultural plantations.
• Stock Market Prediction: A time-series prediction model using RNNs and LSTMs for forecasting stock prices.
• Generative AI with Transformers: Exploration of Generative AI using Transformer architectures like BERT and others.

My goal is to continuously expand my knowledge and contribute meaningfully to the tech industry. I look forward to collaborating on exciting projects and learning from the global community of developers and researchers.

Feel free to explore my repositories and connect with me!