I am a Data Scientist at Pearson LatAm who’s in love with technology and AI. I'm also a Business undergrad at the Federal University of Pernambuco (UFPE).
At Pearson I apply data solutions to business problems using tools such as Python, SQL, GCP and Git.
I have already developed many Data Science solutions such as:
- A tool that predicts the outcome of a soccer match in order to make profit out of betting odds.
- A rent estimator for the city of Recife in order to help people find price worthy properties.
- A tool that identifies the top customers of a fictional multibrand outlet company.
The details of each solution are described in the projects pinned below.
Python |
SQL |
pandas |
NumPy |
Matplotlib |
seaborn |
Plotly |
scikit-learn |
SciPy |
statsmodels |
BeautifulSoup |
Selenium |
Flask |
Heroku |
Power BI |
Qlik |