Daniel Terra Gomes
Graduate Student at UENF - Universidade Estadual do Norte Fluminense
Rio de Janeiro, Brazil

I am pursuing a bachelor's degree in Computer Science. During my free time, I'm usually learning about Machine Learning, Data Science, spoken Languages, and most recently, First aid.

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List your work history, including any contracts or internships
CNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico
Jun 2022 - Jan 2023 (7 months)
Campos dos Goytacazes, Brazil
Undergraduate Researcher
Developing Scientific Research in Machine Learning and Autonomous Vehicles.
The Research's main desire is to develop the student's skills.

Project Title: Project-driven Data Science: Learning and Mapping
Work Plan Title: Autonomous Vehicles in Brazil and their technologies.

- Research
- Scientific Writing
- Python (Programming Language)
- Data Analysis
- Machine Learning
r python sql tableau
Campus b
Mar 2022 - May 2022 (2 months)
The Hoeft Technology and Management Virtual Program
Skills developed during the program:

- Multicultural Teamwork;
- Problem-solving;
- English-speaking and presentation;
- Report and Presentation development;
- Writing, and searching skills;
- Intercultural Communication.

For 7 weeks undergrad students from University of Illinois will work in
partnership with Brazilian undergrad Engineering students on technical
and managerial issues of a specific real-world problem posed by one of
the program’s corporate affiliates. It’s an experience that mirrors the
project team approach used by today’s companies.
writing research presentation communication
UENF - Universidade Estadual do Norte Fluminense
Mar 2019 - Present (5 years 2 months)
Campos Dos Goytacazes Current workspace
Currently Daniel Terra Gomes supports the UENF - Universidade Estadual do Norte Fluminense

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Graduate Student

This section lets you add any degrees or diplomas you have earned.
Colégio Estadual Luiz Ried
High School Diploma
Jan 2015 - Jan 2018
UENF - Universidade Estadual do Norte Fluminense
Bachelor , Computer Science
Mar 2019 - Present
Introduction to Machine Learning
Jun 2021
Mathematics for Machine Learning
Jan 2021
Machine Learning
Dec 2021

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