Leading a team of 40+ highly skilled Data Scientists and Data Engineers focused on developing ML models, applications and data pipelines to perform fraud prevention in the fintech context (Mercado Pago).Business acumen and close interfacing with stakeholders to develop a machine learning framework combining transactional scoring with seller segmentation. With solid results, enabling healthy financial metrics and also ensuring customer satisfaction.Strong team development skils, building a healthy work environment and inspiring team members to be committed to self-development, as a way to foster achievments.

Lead a squad of high talented Data Scientists responsible for machine learning models end-to-end development, as well as to spread the culture and capabilities of advanced analitics to other areas within the company.

During my MsC I took part in the C2D research team, with scolarship provided by Itau-Unibanco. The research focused on developing approaches allowing interpretability of knowledge base embedding models in the context of knowledge representation and large knowledge bases.