Responsible for developing a personalized recommendation system to optimize the ordering of product acquisition banners on the app's homepage. Additionally, I created predictive models to prioritize leads for the inside-sales operations team and developed natural language processing (NLP) models to identify interested customers based on text data. Among other responsibilities, I conducted various data science studies and created metrics to support data-driven decision-making across the organization.

Responsible for contributing to data-driven decision-making by creating informative and visually appealing dashboards that empower our business leaders to make informed decisions.

Responsible for developing the company's operational platform, with a particular focus on automating internal processes for administrators.

Responsible for designing and developing software solutions aimed at enhancing efficiency and automating internal workflows. Furthermore, I also served as a Data Analyst Intern, where I created dashboards within the Metabase platform, facilitating data-driven decision-making and providing operational insights.

Assistance in research conducted by legal experts, through the use of crawlers on the Supreme Federal Court (STF) website, aimed at building an extensive database. This database, enhanced by Machine Learning techniques, provides a scientific foundation for the studies.