Renato Lotto is a Senior Data Scientist in São Paulo with five years of focused experience translating complex data into actionable products for the financial sector, currently driving advanced analytics at Itaú Unibanco. His background in Mechanical Engineering and an M.Sc. in vehicle dynamics gives him a rare blend of rigorous physical-model thinking and modern statistical modeling, applied to problems from predictive classification to causal inference and LLM-driven product insights. At Zup Innovation he led projects that ranged from clustering customer behaviors for Open Banking to end-to-end ML lifecycle implementations using CRISP-DM, and he has delivered 15+ consultancy projects across private equity, telecom and retail. Renato is proficient in Python, SQL/NoSQL, NLP and experiment design, and frequently connects domain knowledge from vehicle dynamics and race telemetry to inventive approaches in data engineering and model validation. Colleagues describe him as a pragmatic problem-solver who favors measurement-driven decisions and brings engineering rigor to product-focused data science.
5 years of coding experience
16 years of employment as a software developer
Data Science & Machine Learning, Data Science, Data Science & Machine Learning, Data Science at Tera
Master of Science (M.Sc.); Mestre em Engenharia Mecânica, Vehicle Dynamics, Data Analytics, Tyre Modeling, Multibody Simulation, Master of Science (M.Sc.); Mestre em Engenharia Mecânica, Vehicle Dynamics, Data Analytics, Tyre Modeling, Multibody Simulation at FEI
Executive Program, Project Management, Executive Program, Project Management at Ohio University
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