I’m a Data Scientist with solid experience in SQL, Python, machine learning, and data analysis. I specialize in building end-to-end data solutions — from acquisition and cleaning to modeling, evaluation, and deployment — with a strong focus on turning data into actionable insights.
For a deeper dive into my career, view my resume
Explore my portfolio for further details about my projects.
Currently, I develop predictive models and data pipelines for large-scale projects in meteorology and energy infrastructure at Necto Systems, including work with Climatempo. Previously, I supported accounting analytics initiatives at Uber (also via Necto), and taught Python and Data Science at Hashtag Treinamentos, a leading online education platform in Brazil.
Before moving into the tech industry, I spent over a decade in academia. I founded a research group focused on developing visual tools to teach abstract chemistry concepts, and held roles as a lab manager, environmental analyst, and scientific researcher.
I’m also the creator of Ciência Programada, a science communication project (in Brazilian Portuguese) that uses Python to explain scientific ideas and methods.
