I am currently seeking opportunities in data and business management. I have knowledge in: building solutions in data for businesses, SQL language for data collection and manipulation; Python language in data collection, processing, analysis, and manipulation using Pandas and Numpy libraries; data visualizations through Seaborn, Matplotlib, Plotly, and Streamlit libraries; application of Machine Learning models for Regression, Classification, and Clustering with Scikit Learn, Scipy; version control with Git; descriptive and inferential statistics; Data Storytelling, and more. Additionally, I have knowledge in R and in the development of dashboards in Power BI.As an intern at John Deere, I worked on data analysis and problem-solving, and continuous improvement projects in the quality and manufacturing sectors. Using tools like Excel, Power BI, and Minitab, project management techniques and quality tools.Towards the end of my graduation, I had my first contact with the data field, with my final thesis focusing on the analysis of service quality data. I applied logistic regression techniques to understand the impact of each variable on customer satisfaction, indicating various insights for decision-making.e-mail: felipe.aguiar1194@hotmail.com