A little bit about me

I'm passionate about data and the stories it can tell. With a degree in Food Science and Technology and a specialization course in Data Analysis, I work with Python, SQL, Tableau, and Excel to extract, process, and visualize information in ways that support real decision-making.

I have worked on projects based on real-world datasets in the e-commerce, food, and environmental sectors, focusing on identifying relevant patterns, validating results, and delivering outputs that are both accurate and easy to interpret.

My approach is grounded in scientific rigor, technical skills, and a genuine curiosity for understanding what the data is really saying.