Tiago is an experienced Data Scientist and Machine Learning Engineer fascinated by how data, predictive modeling, algorithms, and statistical methods may be used to solve complicated industry challenges. With a varied academic background in political science, Computer Science, and AI, he strives to incorporate ideas and information from multiple disciplines wherever he works. Tiago has hands-on experience as part of the Data Science/AI team at Banco do Brasil, where he developed NLP algorithms for multi-class classification challenges.
Worked along the Campaign Budget Optimization team at Pinterest to refactor their CBO (Campaign Budget Optimization) product, improving code readability, developer experience, and maintenance.
Analyzed data regarding ads budget, assisting announcers to improve their performance and expends per ad.
Researched and implemented relevant ML algorithms and tools.
Developed NLP classification models using Python, TensorFlow, MLOps, TensorFlow Extended (TFX), and TF Serving.
Worked in a private cloud environment (Docker and Kubernetes) on a project designed to process about 30 million requests per month 24/7 and is integrated with the Brazilian OpenBanking platform.
Developed features that assisted clients to organize their expenditures and the company to design better products.
Banco do Brasil deployed an online text categorization model for customer spending, improving financial solutions for millions of customers.
The project utilized Python for data analysis, annotation, and model training, leveraging TensorFlow Serving, JavaScript/Node.js for API integration, and Docker for CI/CD.
The initiative focused on integrating the model with older systems, resulting in a better financial insight for customers.
