Experienced Senior Data Scientist with a robust background in machine learning, big data, and advanced analytics. Proficient in designing scalable data solutions, developing predictive models, and applying AI to solve complex business problems. With over 7 years of experience, I have contributed to impactful projects in fraud detection, financial market analysis, and lead scoring, achieving measurable outcomes such as revenue growth and operational efficiency. Skilled in Python, SQL, and cloud platforms, I thrive in data-driven environments where I can deliver value through innovative solutions.
I am also one of the developers behind library tradingcomdados, which aims to make access to financial market data easier.
You can obtain alternative data from the Brazilian Market using this library
Examples:
- Indexes, such as IBOV, IFIX but also S&P 500
- Economy sectors of companies listed in the Brazilian stock exchange
from tradingcomdados import alternative_data as ad
# How to use function 'index_composition'
# Obtaining composition of IBOV
ad.index_composition('ibov')
# Obtaining composition of S&P500
ad.index_composition('sp500')
# ================================
# Obtaining sectors of Brazilian companies listed at B3
ad.get_sectors('B3')
# Obtaining sector of a particular company, you have to pass it as list
ad.get_sectors('B3',['PETR4'])
If you want to check Trading com Dados' github, click the link below: https://github.com/Trading-com-Dados
Last update 16/03/2024