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Portfolio

With a background in Civil Engineering, I have held leadership positions overseeing teams and operations, as well as engaging in entrepreneurship and digital marketing.

As a data analyst, I have experience in database management, data cleaning and preprocessing, querying, and exploratory analysis using Python and SQL. I am also proficient with data manipulation and visualization tools such as Excel and Power BI.

My previous experience as a team leader and manager has strengthened my ability to solve complex problems and think analytically, which are crucial skills in data analysis. Additionally, my proven ability to effectively interact with suppliers and clients during my previous roles has been invaluable in communication and collaboration on data analysis projects.

Projects

Exploratory Analysis

  • The aim of this project is to map the landscape of the data job market in Brazil, from the perspective of gender diversity, or the lack thereof, in the data job market, using the State of Data Brazil 2022 dataset, resulting from a collaboration between Data Hackers and Bain & Company to map the data job market landscape in Brazil. Throughout the project, it will be highlighted how sexism present in the country also reflects in the field.

    Tools: Python, Statistical Analysis: measures, frequency, and dispersion.

  • In this project, we seek to understand the underlying elements contributing to the success of prominent companies, as well as explore the possibility of identifying patterns and emerging trends from this data. In addition to mapping companies' positions in the global market, our analysis extends to investigating sectors that concentrate the most valuable companies and mapping the geographic distribution of these companies.

    Tools: Python, Statistical Analysis: measures, frequency, and dispersion.

  • Presents a comprehensive approach to understanding customer purchasing behavior through descriptive exploratory analysis. Using data manipulation techniques, the main objective is to offer insights that guide business strategies and drive sales growth.

    Tools: Python (Jupyter Notebook), SQL (PostgreSQL)


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