Summary
Rafael Gouveia is a data engineer with 9 years’ experience helping organizations turn data into actionable decisions, currently building data solutions at Knowmad Mood in Madrid. He combines strong statistical foundations (MSc-level training in statistics and a mathematics degree) with hands-on engineering skills across Python, R, PySpark, Snowflake, Airflow and ETL orchestration for clients like Banco Santander and Hotelbeds. Rafael has delivered end-to-end projects spanning scoring models, time-series forecasting, Big Data enrichment pipelines and production SQL transformations. Beyond consulting, he teaches data science and programming—creating video content and tutorials for his audience—demonstrating an ability to explain complex techniques clearly. He is comfortable moving between research-grade statistical modeling and scalable pipeline implementation, and often blends R-based forecasting approaches with Python production tooling. Notably, his background in academia and industry enables him to bridge rigorous methodology with pragmatic delivery in production environments.
9 years of coding experience
5 years of employment as a software developer
Licenciado en Ciencias Matemáticas, Matemáticas y estadística, Licenciado en Ciencias Matemáticas, Matemáticas y estadística at Universidad Centro Occidental 'Lisandro Alvarado'
Maestria en Ciencias., Estadística y probabilidad, Maestria en Ciencias., Estadística y probabilidad at CIMAT
Spanish, English, German