Rafael Parpinel Cavina's work experience includes a range of roles in various companies. Rafael started their career at Curso Objetivo, where they worked as a Scientific Olympiads Monitor from January 2009 to January 2011.
In 2013, they joined Amadeus as a Research Intern in the Operations Research and Innovation Division, specifically in the Search and Knowledge Discovery Team. During their time there, they developed algorithms for a Named Entity Recognition system running on top of Travel Queries data.
From 2014 to 2017, Rafael worked at AXA, initially as a Data Scientist Intern in the Data Innovation Lab, where they created the first versions of scores for modeling car drivers' behavior based on telematics data. Rafael then transitioned into the role of Data Scientist, where they worked on various data science algorithms related to telematics, marketing, optimization of claims cost, and fraud detection. Later, they became a Product Manager in the Data Innovation Lab, focusing on the creation, development, launch, deployment, test, and maintenance of an anti-fraud solution internal to AXA group.
After their time at AXA, Rafael joined a startup in the French occupational health market as a Full-stack Developer. Their responsibilities included developing a web application, maintaining the database, and handling data engineering matters related to health and administrative data.
Finally, they worked at Padoa, a health digital platform, where they held two roles. Firstly, they served as a Data Engineering Manager from February 2018 to July 2021. In this role, they were responsible for deploying new customers to the platform and building data pipelines to connect different systems. Rafael collaborated closely with project managers, product owners, and end users to ensure the quality and meaningfulness of the data services provided. Subsequently, they became the Product & Engineering Manager, leading the technical team responsible for the financial and billing solutions offered by Padoa. Their team developed and maintained a billing core system, a web application, and externally-exposed APIs that connected data with different accounting systems and digital commerce payment platforms.
Overall, Rafael Parpinel Cavina has a diverse background in data science, product management, and engineering, with experience in various industries such as health, insurance, and travel.
Rafael Parpinel Cavina completed their Bachelor's degree in Physics from USP - Universidade de São Paulo, starting in 2009 and finishing in 2013. Rafael also pursued further studies in Applied Mathematics - Probability and Statistics, earning an M2 degree from École Polytechnique between 2010 and 2013. No information is available regarding their education at ulbra, including the start and end years or the degree and field of study pursued.
July, 2019 - present
February, 2018
February, 2017