Experience

  1. Founder & Data Scientist

    Providentia
    • Engineered a demand forecasting platform using Machine Learning that reduced forecast generation time from days to hours, enabling end-users to make faster and data-driven operational decisions.
    • Developed time series forecasting platform that used 5+ models such as exponential smoothing, ARIMA, quantile regression, gradient boosting, recurrent neural networks (LSTM and GRU) using Python/R with Tensorflow/Keras and Pytorch
    • Created a back-end and data-pipeline using technologies like Node.js, AngularJS, MongoDB, PostgreSQL, and RabbitMQ, enabling the processing of multiple concurrent forecasts while providing high availability.
    • Consulting in Machine Learning and Artificial Intelligence projects (model optimization, chatbots, LLMs and others)
  2. Founder & Software Engineer

    Rapi.do
    • Created a platform to connect motorcycle couriers, businesses, and individuals with Node.js, MongoDB, and AngularJS
    • Developed a mobile app for couriers and users, using jQuery Mobile
  3. Data Engineer

    Santader Bank
    • Worked in 30+ statistical modeling and data engineering projects, impacting 10+ million Santander Bank clients
    • Created and managed 50+ ETL pipelines using SQL and PL/SQL for databases/tools such as Oracle, SQL Server and SAS
    • Migration of manual ETL pipelines from SQL Server to Oracle, reducing the processing time by approximately 83%
    • Crafted interactive dashboards and reports using Excel and Pentaho, enabling data analysis and actionable insights
    • Pioneered Wiki CRM, enabling analysts to document project details, ETL metadata, and dataset information
  4. Software Engineering Intern

    Brazilian Federal Revenue Office
    • Produced reports for the Brazilian Federal Revenue Office, utilizing BI tools such as Pentaho and Jaspersoft iReport
    • Engineered a Java-based communication scheduling tool to streamline inter-departmental interactions
    • Constructed administration panels for internal servers, employing HTML, CSS, and Python

Education

  1. MSc. Computer Science

    University of Sao Paulo (IME-USP)
    Thesis: Reinforcement Learning for Stochastic Shortest Path with Dead-Ends
    Download dissertation
  2. BS Computer Engineering

    Faculdade de Informatica e Administracao Paulista (FIAP)
    Thesis: Neural networks applied to higher education evasion