Renan Roveri do Amaral Gurgel

Renan Roveri do Amaral Gurgel has a varied work experience in the field of data science and engineering. Renan started their career as a Student Monitor of Numerical Analysis courses at Universidade de São Paulo in 2011. Renan then worked as an Auxiliary Teacher at Curso Anglo Vestibulares (Preparatory Classes) from 2011 to 2012. In 2014, they interned at Keenpoint Consulting and contributed to the development of the new ERP platform, KP 2.5, using JavaScript.

In 2015, Renan worked at the Hospital Albert Einstein as an Intern and later as an Innovation Engineer. Renan then joined 99 as a Data Scientist from 2016 to 2017. In 2018, they worked at Yellow in the same role. In 2019, Renan joined Grow Mobility as a Data Scientist before moving to Matcha Wine as a Backend Dev/Data Scientist later in the same year.

Overall, Renan has gained significant experience in data science and engineering throughout their career, working with various companies and contributing to the development and implementation of innovative solutions.

Renan Roveri do Amaral Gurgel has a diverse education history. Renan first attended Colégio Leonardo da Vinci de Jundiaí from 2007 to 2009 to complete their high school education. Afterward, they pursued a Mechatronics Engineering degree at USP - Universidade de São Paulo from 2010 to 2015. During this time, they focused on fields such as Mechatronics, Robotics, and Automation Engineering.

Renan furthered their education at the prestigious Ecole centrale de Nantes, where they studied from 2012 to 2014 and obtained a degree in Ingénieur Généraliste, specializing in Automatic Control.

In addition to their formal education, Renan Roveri do Amaral Gurgel has taken several certifications through Dataquest.io. These certifications cover a wide range of subjects related to data analysis, including APIs and Web Scraping, Big Data Tools, Data Analysis, Data Cleaning, Data Science Topics, Data Visualization, Databases and SQL, Kaggle Competitions, Linear Algebra, Machine Learning, Python, R Programming, Statistics, and The Command Line. The specific month and year of these certifications are not provided.