Pedro Gonçalves

Pedro Gonçalves is a seasoned data science professional with extensive experience in developing and implementing advanced machine learning models across various sectors. Currently serving as a Data Science Specialist and Staff Data Scientist at Stone, Pedro is a technical leader in credit risk modeling and fraud detection for e-commerce transactions. Previous roles include Lead Data Scientist at Lojas Riachuelo, where Pedro refined machine learning products and led a team in enhancing operational efficiency, and Senior Data Scientist positions at Santander Brasil, where contributions included creating propensity models and advancing auto-ML pipelines. Additional experience spans multiple organizations, including Neomove, HP, and Heidrick & Struggles, with a solid educational foundation in Information Systems from FIAP. As a Data Science Mentor at Awari, Pedro guided students in practical project development while promoting data science knowledge.