Summary
Jacqueline Carvalho is an AI Analytics Engineer with a decade of experience turning messy, multi-source data into production-ready analytics and AI products across fintech and enterprise clients. She has led end-to-end ETL/ELT and big data projects using Airflow, dbt, Spark/PySpark, AWS and Databricks, driving measurable impact such as refactors that saved ~$500K and automated credit decisions that reduced provisions. At Nubank she now builds AI agents and metrics to monitor model performance and business value, blending prompt engineering, fine-tuning and product-focused MVPs. Fluent in English (C1) and conversational in German (B2), she pairs technical depth with cross-functional leadership—mentoring teams, owning on-call reliability, and translating business rules into robust pipelines. Her background in economics and early finance roles gives her a practical edge when designing ML and analytics solutions for regulated financial products.
10 years of coding experience
9 years of employment as a software developer
Bachelor's degree Economics, Bachelor's degree Economics at Universidade Metodista de São Paulo
English, Spanish, Portuguese, German