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Hi, I'm Luiz!

I'm an Economist and Data Scientist that loves basketball 🏀

Here, in my github account, you can find some of my projetcs and studies.

Techs that a like to use:

I have experience working with a lot of tech tools, for coding (Python, R, etc), Business Inteligence (Tableu, PowerBI, etc) and SQL (SQLite, Teradata, BigQuery, etc). I like to learn how to use new tools because I think that they can help a lot and make our work easier.


luiz-Python luiz-R luiz-SQL luiz-GCP luiz-Salesforce

How to get in touch with me:

On my LinkedIn account you can find out more about my professional experience and courses that a have taken.

Some projects that you can find here on my GitHub account are about:

  • Creating my own data-set of images to star my Neural Network studies, applying concepts of retrieving data from an API link
  • SQL course I developed to disseminate the use of SQL to analyze customer data in the company where I work link
  • Network analysis with Input-Output Matrix presented as my undergraduate thesis link

Luiz Gabriel's Projects

curso_sql_para_crm icon curso_sql_para_crm

Course I developed to disseminate the use of SQL to analyze customer data in the company where I work. In the course we learned about everything from the basics of SQL to advanced queries in an applied way, to create customer segmentation (Life Cycle and Frequency and Value), generation of strategic KPI's and creation and segmented marketing campaigns.

customer_segmentation_experiments icon customer_segmentation_experiments

Este repositório tem como objetivo testar diferentes abordagens de segmentação de clientes com diferentes algoritmos de Machine Learning.

digits_knn_opencv icon digits_knn_opencv

Este projeto tem como objetivo, através do método KNN, treinar um modelo que consiga identificar dígitos escritos a mão. O projeto visa aplicar o aprendizado das aulas do programa de Especialização em Data Science e Big Data da UFPR e compor parte da nota na disciplina de Mineração de Dados - Módulo 01.

gcp_trainning icon gcp_trainning

This repo is destinated to save some of studies about google cloud plataform (GCP)

input_output_network_analysis icon input_output_network_analysis

Network analysis with Input-Output Matrix. Project developed as a conclusion of my graduation in economics where I explored the use of network analysis in input-output matrices comparing countries in the north and south of the world, exploring the similarities and differences in the flow of goods structures between sectors of the economy. All analysis was done in R, the presentation in R Markdown and the Article in LaTex.

letscode_ds_curso icon letscode_ds_curso

Respositório destinado a documentar o meu progresso e as atividades realizados no curso imersivo de Ciência de Dados da Lets Code.

lz_prob_distributionsgb icon lz_prob_distributionsgb

Projeto desenvolvido durante o curso AWS Machine Learning Foudation - Udacity. Criamos um pacote em python para aprender os conceitos de orientação a objetivos.

movie_genres_cnn_classification icon movie_genres_cnn_classification

Este projeto tem como objetivo classificar uma base de dados de imagens de posters de filmes, rotulados como Ação, Comédia e Drama, com o objetivo classificar os porters pelo seu respectivo genero. Os dados foram obtidos via API do site TMDB. O código para extrair os dados pode ser encontrado neste outro projeto [link](https://github.com/Luizgs7/Movies_DataSet)

projeto_dsbd_gamlss icon projeto_dsbd_gamlss

Este projeto tem como objetivo, através de uma regressão binomial do tipo logito, predizer as chances de um nódulo de mama ser maligno ou benigno. O projeto visa aplicar o aprendizado das aulas do programa de Especialização em Data Science e Big Data da UFPR e compor parte da nota na disciplina de Inferência Estatística parte 3.

projeto_dsbd_lr icon projeto_dsbd_lr

Este projeto tem como objetivo, através de uma regressão logística, predizer o número de inscritos em 2 canais do Youtube. O projeto visa aplicar o aprendizado das aulas do programa de Especialização em Data Science e Big Data da UFPR e compor parte da nota na disciplina de Inferência Estatística..

projeto_dsbs_glm icon projeto_dsbs_glm

Este projeto tem como objetivo, através de uma regressão múltipla, entender a demanda de energia gasta para aquecer prédios (construções de forma geral) como uma função de características dos prédio. O projeto visa aplicar o aprendizado das aulas do programa de Especialização em Data Science e Big Data da UFPR e compor parte da nota na disciplina de Modelos Estatísticos..

streamlit_dashboard_eda icon streamlit_dashboard_eda

This repository was created during my studies about the python package Stremlit, that builds web apps in python that can be used to build interactive dashboards and are easily deployed in the Streamlit Share plattaform.

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