_{Graduate in Information Systems at the Federal University of Ouro Preto}

As a data scientist, I'm always looking for problems to solve. This fascinating area of artificial intelligence makes me excited to overcome obstacles. With each passing day, I am more aware that in data science there is always something more to learn. This data science personal project portfolio is to demonstrate my skills in solving business challenges through my knowledge and tools of Data Science.

Analytical Tools: Power BI.

Data Collect and Storage: SQL, PostgresSQL, MySQL, SQLite, Flask-sqlachemy.

Data Processing and Analysis: Python.

Development: Git, Flask.

Machine Learning Modeling: Classification, Regression, Clustering, Time Series.

Machine Learning Deployment: Heroku, AWS.

In this project, i developed a Machine Learning model able to forescat sales with Mean Absolute Percentage error accuracy(MAPE): 0.09. The performance of this model would increase revenue of R$7 millions according to the company's business model described in the problem definition.

In this project, i developed a model capable of classifying stock market stocks as reliable or unreliable to invest, with the purpose of helping investors to make good investments and, above all, not lose money.

On Going