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  • Rio Grande do Sul, Brazil

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viniCerutti/README.md

Hello World 🌎!

About Me:

I like solving problems and getting ideas off paper and programming. I have experience with scientific methodology, software development, data analysis in retail, HR (people analytics) and credit.

I currently work at agibank in the modeling area, building propensity and recommendation models. Using scientific methodologies, exploratory analysis, visualization and data mining through tools such as: R, sagemaker, Jenkins and AWS. He actively participates in the kaggle platform with some analyzes and predictions and takes numerous courses in various areas.

Interested in the areas of: machine learning, algorithms, big data and data science.

Projects:

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  1. titanic-web-ml titanic-web-ml Public

    WebApp which uses a logistic regression model to classify whether user will survive or not the Titanic's disaster according to their information entered.

    Jupyter Notebook

  2. employee-turnover-analysis employee-turnover-analysis Public

    Analysis and prediction of employee Turnover - People Analytics 101 Udemy Course

    R 1

  3. credit-risk-analysis credit-risk-analysis Public

    An analysis and prediction model for the Statlog (German Credit Data) dataset problem

    Jupyter Notebook

  4. eel eel Public

    Forked from henryzord/eel

    This repository is an extension of the EEL, in which performing a stacking with a logistic regression as a meta-classifier and as base-classifier EEL.

    Python

  5. YuriBittencourt/Error-detection-Algorithms YuriBittencourt/Error-detection-Algorithms Public

    Implementação do Código de Hamming, BCC e CRC. Trabalho 1 de redes @ PUCRS 2019-1

    Python 5 1