Lavino Menezes
Cientista De Dados Pleno at DB
Paraíba, Brazil
Summary
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Senior🎓
Top SchoolLavino Menezes is a data scientist with nine years of experience building end-to-end ML solutions for finance and retail, specializing in credit and risk models such as collection and behavior scores. With an Electrical Engineering background and Databricks ML certifications, he combines strong statistical modeling (GLMs, XGBoost, time series) with MLOps practices using Kedro, MLflow and Databricks. He has delivered projects across the full lifecycle—from target definition and regulatory-aligned validation to explainability and monitoring—while balancing predictive performance with financial metrics. Lavino also tackled demand forecasting, stockout modeling and commercial prioritization using clustering and optimization techniques, and has productionized models on cloud stacks including Azure and AWS. Currently exploring LLMs, RAG and AI agents, he’s focused on applying retrieval and agentic workflows to enhance analytics, automation and decision support in financial services. Based in Paraíba, Brazil, he documents and shares his work publicly on GitHub, bridging applied ML rigor with clear business communication.
9 years of coding experience
Bacharelado em Engenharia Engenharia Elétrica e Eletrônica, Bacharelado em Engenharia Engenharia Elétrica e Eletrônica at Instituto Federal da ParaíbaSAP Management 4.0, SAP Management 4.0 at MDL Consulting
EnglishGithub contributions (5)
lavinomenezes/House_rocket_insight_project
Mar 2022 - Oct 2022
Contributions:31 commits, 28 pushes, 1 branch in 7 months
lavinomenezes/Rossmann_store_sales
Oct 2022 - Nov 2022
Contributions:60 pushes, 1 branch in 16 days
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