Summary
Felipe Gruendemann is a Data Scientist III with nine years of experience and a Master's in Computer Science, currently applying ML, data engineering and cloud solutions at Grupo RBS to drive product impact and operational efficiency. He has delivered production ML (BigQuery ML, Kubernetes), centralized B2C data architectures, and a newsletter recommender that boosted click rates by up to 125% while improving engagement and user satisfaction. His background spans academic research, consultancy and startups, giving him strengths in feature engineering, ETL optimization on GCP, and translating business needs into measurable KPIs. Felipe pairs hands-on technical delivery (Python, SQL, Airflow, BigQuery, Looker) with stakeholder communication and prioritization, and he has a track record of cutting cloud costs through query and partitioning optimizations. Colleagues describe him as curious and pragmatic—focused on solving real-world problems and continuously learning across AI, media, marketing and games.
8 years of coding experience
5 years of employment as a software developer
Master's degree in Computer Science, Computer Science, Master's degree in Computer Science, Computer Science at Federal University of Pelotas
Técnico, Informatics, Técnico, Informatics at Instituto Federal de Educação, Ciência e Tecnologia Farroupilha - Campus São Borja
English, Spanish