Skip to content
View metsumesquita's full-sized avatar
🎯
Focusing
🎯
Focusing

Block or report metsumesquita

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
metsumesquita/README.md

👋 Welcome to My GitHub Profile

🎯 About Me

  • 🎓 Education: I graduated with a Bachelor's degree in Computer Science from the Catholic University of Pernambuco (UNICAP ICAM-TECH) in 2024. During my studies, I completed a one-year scientific initiation project (2022-2023).

  • 📄 Project Title: Systematic Review on Missing Data in Multivariate Time Series in the Context of Industry 4.0: ACM Search Engine. This project was part of a larger research initiative titled Development of a Methodology Based on Intelligent Computational Models to Estimate Missing Data in Multivariate Time Series.

  • 🎓 Current Position: I'm currently pursuing a Master's degree at the University of Pernambuco in The Graduate Program in Computer Engineering (PPGEC).

  • 📚 Publication: I have submitted a paper titled A Comparative Analysis of Deep Learning-Based Methods for Multivariate Time Series Imputation with Varying Missing Rates for the ETCM 2024 conference.

##:woman_technologist: 📖 my strength :computer:

find me on differents social media

Pinned Loading

  1. Computa-ao-grafica Computa-ao-grafica Public

    esta atividade foi um trabalho em 2d utilizando c++ ,nesta cadeira katherine e arthur ajudaram ,alem de igor e mike que ajudaram a entender mais sobre c++

  2. estudo_java estudo_java Public

    Java

  3. kaggle-colab-jupyter kaggle-colab-jupyter Public

    Jupyter Notebook

  4. Python_resumo Python_resumo Public

    aqui vou separar os estudos de python feito no google colab,esse colab foi feito com o intuito de ajudar outros estudantes e tambem pessoas que estao estudando

    Jupyter Notebook