Lucas User

My main project is Radar de Combustíveis SP. I brought together three years of ANP price spreadsheets—about 800,000 prices—in PostgreSQL, with an API and an online dashboard that updates weekly.

Using those data, I showed that white-label fuel is about 5.6% cheaper than branded stations in the same city. I also completed 10 TripleTen projects spanning time series, NLP, and computer vision.

At EverydayFit, I participate in managing the business, making decisions, and shaping the technology for a personalized supplement subscription with a specialized WhatsApp chatbot. I’m studying Applied AI Engineering at UNIPDS/Anhanguera.