About

Fabiola Magossi is a versatile and passionate developer and data analyst with a strong analytical profile and a love for problem-solving. She holds a degree in History from the University of São Paulo, a degree in Library Science from UNIFAI, and a degree in Analysis and Systems Development from UNINOVE. Currently, she is pursuing an MBA in Financial Mathematics and Statistics and a post-graduate degree in Big Data and Business Intelligence, both of which are expected to be completed in December 2022. Fabiola is an expert in transforming data into relevant and easy-to-understand information. With a critical eye, she can identify issues that need to be addressed within a dataset. Her hard skills as a Data Analyst include PostgresSQL, Data Analysis, Data Visualization (Google Data Studio), Business Intelligence, and Python. She has been working in the field of Data Analysis since 2019, focusing on use case resolutions, automation of tasks, data extraction, cleaning, treatment, and analysis with PostgresSQL and Python, as well as on the structuring of business strategy/intelligence and the creation of management dashboards with Google Data Studio. Since November 2021, Fabiola has expanded her area of expertise to include back-end development with Ruby on Rails. She is responsible for building, refactoring, maintaining, and correcting application code, as well as creating automated tests in RSpec. Her hard skills as a Software Developer include Ruby on Rails, Git/Github, Linux, Shell Script, HTML5, and CSS3. Fabiola has a passion for education and is always open to learning and acquiring new knowledge. Her relevant experience includes 4.27 years of work in the field of data analysis and software development. She has worked as a Data Analyst at Blox, where she was responsible for data treatment, cleaning, extraction, and analysis, as well as for the development of innovative and creative solutions using methods and techniques of Data Science. She has also worked at Nokia as a Data Analyst, where she was responsible for data extraction in HQL, automation of tasks in Shell Script, and the development of predictive and statistical models in Python. Fabiola's education history includes a Master's degree in History from the University of São Paulo, an MBA in Financial Mathematics and Statistics, a post-graduate degree in Big Data and Business Intelligence, and a Bachelor's degree in Analysis and Systems Development, Library Science, and History. She also completed boot camps in Data Science and