Data Science Student
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Gabriel Luiz dos Santos Silva
@gabrielluizone
Data Science student at Fatec Rubens Lara with certification in Google Data Analytics Professional. Dedication to developing skills in Data Analytics, with analytical thinking, reasoning, decision-making and problem-solving. Practical experience in Python and R, with more than 1 year in data analysis projects and other approaches in Data Science in the academic environment.
Algebra monitor, improving interpersonal teaching, communication and leadership skills. Required for future Calculus monitor.
About my career in becoming a Data Scientist. My short-term goals involve optimizing my knowledge through academic activities, such as tutoring, and carrying out projects in Data Science. In the long run, I believe in the importance of building a firm foundation before becoming a successful professional.
Teacher Assistant | Linear Algebra
02/2023 - 06/2023 (Santos, São Paulo, Brasil)
• Linear Algebra Tutoring
As a Linear Algebra Tutor, I am responsible for carrying out, solving and correcting activities and student work, in collaboration with the course teacher. My mission is to teach tutoring classes twice a week, lasting 2 hours each, to present, develop and practice the main subjects of the course, explaining the steps and their practical application, so that students can better understand the subject. In addition, I have the task of helping students to develop their skills and competences, through constructive feedback and effective learning strategies.
As a Linear Algebra Tutor, I have solid knowledge in Linear Algebra, as well as interpersonal and teaching skills to conduct tutoring sessions in a clear and objective way.
Faculdade de Tecnologia da Baixada Santista - Rubens Lara
• Data Science
02/2022 - 12/2024
The technologist trained in this course develops solutions to complex problems through data collection and statistical analysis, creates algorithms to assist in strategic decision-making and solves business problems, using modern machine learning techniques, statistics applied to predictive, descriptive and prescriptive analysis data to promote increased competitiveness of organizations.
