Summary
Renato Aranha is a data scientist with 11 years of experience combining a BSc in Physics, an MSc in Applied Mathematics and ongoing PhD work in AI to solve real-world business problems. He has led and delivered analytics projects across industry and public sector contexts—from customer segmentation and CLV at B2W to corruption-detection tunneling analysis for government at FGV. At IBM he builds production-ready ML models and analytics apps, leveraging Python, Docker, Streamlit/Dash and cloud deployment practices. He also teaches matrix methods and clustering on FGV’s MBA, bridging academic rigour and applied decision-making. Comfortable in interdisciplinary teams, Renato pairs deep statistical learning interest with strong communication and product sensibility that drives stakeholder impact. An often-overlooked strength is his sustained focus on reproducible pipelines and deployment, informed by long-term roles spanning research, engineering and teaching.
10 years of coding experience
4 years of employment as a software developer
BSc, Physics, BSc, Physics at Federal University of Rio de Janeiro
MSc, Applied Mathematics, MSc, Applied Mathematics at Fundação Getulio Vargas
English