Data Scientist with experience in developing high-impact data solutions. Specialized in advanced analytics, rule-based systems, and risk analysis. Expertise in R, Python, PySpark, and key data science libraries, with a strong focus on delivering measurable business outcomes. Proficient in Agile methodologies and experienced in working with cross-functional teams. Solid academic background in Data Science and Analytics (MBA) and Automation and Robotics Engineering (BSc).
February/2025 - Present
Currently working on developing data science solutions for the legal sector, including legal chatbots and judicial process recovery analysis.
September/2022 - January/2025
Led projects focused on risk analysis and conversion for customer segmentation. Developed propensity models for products and marketing analytics. Led NLP projects, including Subrogation Detection and Reclame Aqui complaint analysis.
January/2022 - August/2022
Expanded the functionality of the Involves Doors app by developing a proprietary mathematical model to identify products with expiration issues at Points of Sale (POS). This innovation doubled the customer base in 3 months and became a central focus of the company's marketing efforts.
March/2021 - January/2022
Developed Machine Learning solutions for exploratory and predictive analyses using R and Python. Designed Business Intelligence dashboards to visualize complex datasets. Built and maintained frontend and backend systems, including VBA tools for process automation.
October/2019 - February/2021
Automated departmental processes, reducing manual effort and improving efficiency. Migrated legacy reports to Microsoft Power BI, ensuring data integrity and streamlining reporting workflows.
University of São Paulo – USP
Completed in 2022
Federal University of ABC – UFABC
Completed in 2020
Federal University of ABC – UFABC
Completed in 2018
Native Portuguese
Fluent in English
Fluent in Spanish
Advanced in German