Summary
Giovane Mistico is a data specialist with eight years of experience applying machine learning and analytics to risk, fraud prevention, and operational efficiency across banking, payments, and services. Trained as a Mechatronics Engineer from USP and currently pursuing an AI-focused MBA, he bridges engineering rigor with practical data product delivery—building predictive churn and acquisition models, automated enrichment pipelines with N8N, and operational dashboards using Python, SQL and ClickHouse. He has a strong consultancy background helping executives translate data into cost-avoidance and people-analytics decisions, and has implemented model validation and Spark-based solutions in production contexts. Comfortable with both structured and unstructured data, Giovane often combines statistical forecasting and text analytics to surface non-obvious business drivers. Known for curiosity and hands-on automation, he pairs technical fluency (advanced SQL, Python, VBA) with process design experience from leading an electric formula team at USP.
8 years of coding experience
4 years of employment as a software developer
Pós-graduação Lato Sensu - MBA, Artificial Intelligence, Pós-graduação Lato Sensu - MBA, Artificial Intelligence at MBA USP/Esalq
University of São Paulo