evertonbin
I love data (run data + coffee and you get piece of heaven as result). I like asking questions to understand mechanisms and data usually have the answers.
Porto Alegre - RS | Brazil
Pinned Repositories
covid19
Study on the differences in the virus spread for different cities in Brazil, including a model to predict future deaths by Covid-19.
customer-churn
Using a Telecom's dataset, this project develops both an analysis to understand possible correlations and a model for predicting customer churn.
customer-segmentation
customer-segmentation-arvato
This project develops a customer segmentation process related to a mail-order company in Germany.
disaster-response
This project was developed for classifying messages (tweets or direct messages) related to some disasters, in order to direct the message to the appropriate authorities.
ifood-data-advanced-analytics-test
kaggle-survey
Exploratory analysis on 2019 Kaggle Machine Learning and Data Science Survey dataset.
network-analysis
This project analyses a company's e-mail network and uses the graph information to predict salary and future connections.
spam-classification
This project goes through the process of classifying text messages in spam and not spam messages.
starbucks-promotion-optimization
This project develops a solution for optimizing a Starbucks' promotional event by segmenting clients that are more likely to be responsive to the promotion.
evertonbin's Repositories
evertonbin/customer-segmentation-arvato
This project develops a customer segmentation process related to a mail-order company in Germany.
evertonbin/starbucks-promotion-optimization
This project develops a solution for optimizing a Starbucks' promotional event by segmenting clients that are more likely to be responsive to the promotion.
evertonbin/covid19
Study on the differences in the virus spread for different cities in Brazil, including a model to predict future deaths by Covid-19.
evertonbin/customer-churn
Using a Telecom's dataset, this project develops both an analysis to understand possible correlations and a model for predicting customer churn.
evertonbin/customer-segmentation
evertonbin/disaster-response
This project was developed for classifying messages (tweets or direct messages) related to some disasters, in order to direct the message to the appropriate authorities.
evertonbin/ifood-data-advanced-analytics-test
evertonbin/kaggle-survey
Exploratory analysis on 2019 Kaggle Machine Learning and Data Science Survey dataset.
evertonbin/network-analysis
This project analyses a company's e-mail network and uses the graph information to predict salary and future connections.
evertonbin/spam-classification
This project goes through the process of classifying text messages in spam and not spam messages.
evertonbin/portfolio-website
Personal website for showing off portfolio
evertonbin/python-mongodb
Treatment and injection of .json documents in a MongoDB database and applying queries over the database through Jupyter Notebook.
evertonbin/python-mysql
Script for the ETL process, cleansing, transforming and ingesting data into a MySQL database along with Python queries using SQL over the created database for answering a couple of questions.
evertonbin/recommendations
Udacity Data Scientist Nanodegree IBM Recommendations Project
evertonbin/satisf-cliente-santander
It follows up the creation of a model for predicting customer satisfaction using a dataset provided by Santander.
evertonbin/text-mining-medical-records-dates
It uses text mining techniques to extract dates in different formats from medical records.