São Paulo, São Paulo, Brazil
I am a Senior Data Scientist and Tech Lead with 5+ years of experience building scalable AI solutions that drive direct financial impact. My expertise lies at the intersection of Machine Learning and MLOps, with a primary focus on Fraud Prevention and Risk Modeling. Core Expertise: Machine Learning & AI: Experience in Fraud Detection systems and NLP (BERT, Embeddings, LDA). MLOps & Production: Proven track record of deploying and maintaining models in production with a focus on observability and efficiency. Leadership: Leading multidisciplinary squads to refine development workflows and deliver high-quality, end-to-end data projects. Academic Experience: Master of Science in AI specializing in Text Mining and Systematic Literature Reviews. I am driven by solving complex problems through state-of-the-art technology and a rigorous data-driven approach.
• Led the end-to-end development and implementation of complex machine learning models and rule-based systems, directly impacting fraud detection rates. Optimized the entire pipeline to balance high-performance metrics (precision/recall/F1-score) with cost-effective infrastructure and production stability.
• Technically leading a team of five individuals (data scientists, data analysts and business analysts), responsible for planning, refining, executing and ensuring quality/scientific rigor of model development workflows.
• Working on the company's financial team, more precisely, on the anti-fraud and money laundering prevention squad. • Development of machine learning models aims to detect clients with fraudulent characteristics or high-risk businesses. Trying to avoid possible future financial losses. • Implementation and maintenance of machine learning models in production, working on some fronts of MLOps.
Professor of Data Science (qualification course) • Content development, presentation of classes, and creation of exercises for the subject Introduction to Machine Learning Techniques I, focusing on Initial Data Analysis (IDA) and Exploratory Data Analysis (EDA).
• Worked on a research project in the Artificial Intelligence area, using Text Mining techniques to automate the formulation of search strings in the Secondary Study process. • Use of representations in bag-of-words and embeddings to automatically obtain document terms. Filtering terms in documents using metrics such as TF and DF. Implementation of algorithms for extracting topics from certain representations (LDA) and pre-trained models of masked language for term enrichment (BERT).
• Support for the development, supply, and analysis of data to the Graduate Programs websites of the Federal University of Mato Grosso do Sul (UFMS). • WordPress was used as a CMS (Content Management System) so that manipulation could be provided continuously. • Google Analytics was used in certain cases to analyze specific data.
• Responsible for managing the entire area of information technology, from recruiting new employees to project management. • Actively participated in Project Management, including the implementation of Scrum, Kanban, and MR-MPS Level G on an experimental level. • Developed and coordinated the development of websites and Android applications.