Skip to content
View lauradefaria's full-sized avatar
🎯
Focusing
🎯
Focusing
  • Backend Developer at Mercado Eletrônico
  • João Pessoa - Paraíba
  • LinkedIn in/lauradefaria

Block or report lauradefaria

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.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. 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
lauradefaria/README.md

Hey! 👋

My name is Laura de Faria, and I am currently studying Computer Engineering at the Federal University of Paraíba. I work as a Backend Developer Trainee at Mercado Eletrônico and am an active member of the Institute of Electrical and Electronics Engineers (IEEE), contributing to the Computer Society (CS) and the Computational Intelligence Society (CIS). I am interested in data science, software engineering, and data engineering, and I am always eager to discover new things and improve my skills, with a strong enthusiasm for innovation and entrepreneurship.

Check out a bit more about me on my page!


Pinned Loading

  1. AKC_Group_Classifier AKC_Group_Classifier Public

    The project was developed within the Introduction to AI course at UFPB and aims to apply the knowledge of data processing and machine learning

    Jupyter Notebook

  2. CVRP_With_AI CVRP_With_AI Public

    Cluster CVRP instances from the literature and identify those similar to the studied article using AI.

    Jupyter Notebook

  3. SmartRefund SmartRefund Public

    Forked from armentanoc/SmartRefund

    Agilize o processo de reembolso de despesas através da extração de informações de documentos fiscais com processamento de imagem, simplificando o fluxo de trabalho do setor financeiro, eliminando e…

    C# 1

  4. HeatMap_GeoTag HeatMap_GeoTag Public

    This project aims to identify the most visited places in João Pessoa using the Flickr platform to collect geotagged photos and generate a heat map highlighting the most frequented areas

    HTML

  5. LocoMove LocoMove Public

    Web platform integrating sensor data and machine learning for real-time monitoring and personalized training recommendations for individuals with spinal cord injury.

    JavaScript

  6. ppm_compressor_classifier ppm_compressor_classifier Public

    Implementação do algoritmo PPM-C para compressão de dados e classificação de saúde mental, usando árvore Patricia, codificação aritmética e processamento de dados.

    C++