Igo Barros

Igo Barros is a Data Scientist with experience in the development of analytical solutions and models for credit policies, loan models, credit score origination, and feature extraction pipelines. In 2022, they began working as a PL Data Scientist at Jeitto, where they were responsible for studying and modeling credit models. From 2021 to 2020, they worked as a Data Scientist at Mundiale, where they developed fraud models, ETLs for data extraction and preparation, sales prediction models, payment prediction models, and presented solutions to multidisciplinary teams. In 2019, they worked as a Consultor Data Science. In 2018, they worked as a Desenvolvedor Web at Tribunal Regional Do Trabalho Da 22a. Regiao, where they were responsible for developing full-stack solutions for the internal audience and developed front-end using Angular and back-end with Java and Spring Boot, versioned with SVN and Gitlab, and documented APIs in Postman. From 2020 to 2021, they were an Orientador de disciplina e área de estudo and Estagiário at iCEV - Instituto de Ensino Superior.

Igo Barros obtained a Bachelor's degree in Computer Science from Estácio between 2016 and 2020. Igo has also obtained several certifications, including Big Data Real-Time Analytics with Python and Spark from Data Science Academy in 2021, SQL Complete Course from Softblue Cursos Online in 2020, Database and SQL Course from Udemy in 2020, Aceleradev Data Science from Codenation in 2020, Data Science Bootcamp from Udemy in 2020, NoSQL and MongoDB Course from Udemy, Face Detection with Python and OpenCV from Udemy, Machine Learning A-Z from Udemy, Emotion Mining with Python and NLTK from Udemy, Python Scrapy from Udemy, Face and Object Recognition with Python and Dlib from Udemy, Android Course from Udemy, Deep Learning A-Z from Udemy, Data Science Formation from Comunidade DS, MongoDB Guide from Udemy, Artificial Intelligence Text Search with Python from Udemy, Object-Oriented Programming with Python 3 from Udemy, Python Data Mining and Machine Learning from Udemy, and Python 3 with Django from Pycursos.