Summary
Jair Junior is a data specialist with 10 years of experience building BI platforms, predictive credit models and operational analytics for retail finance at Lojas Lebes. He designs and monitors Behavior Score and CredScore models, creates collection and contact-success predictors, and translates results into executive-ready dashboards using Power BI, Python, SQL and Azure data services. Comfortable across the full data lifecycle, he architects Synapse/Data Lake pipelines, optimizes cloud costs, and productionizes ML workloads with Spark and Azure ML. His background in web development (PHP, MySQL, AngularJS) and Git-based versioning gives him hands-on systems sensibility that smooths BI migrations and ETL automation. Based in Rio Grande do Sul, he combines quantitative modeling and pragmatic engineering to reduce credit risk and improve collection efficiency.
10 years of coding experience
Curso Superior de Tecnologia (CST), Information Technology, Curso Superior de Tecnologia (CST), Information Technology at IFSUL - Instituto Federal Sul-rio-grandense
MBA em Tecnologia para Negócios: AI, Data Science e Big Data, MBA em Tecnologia para Negócios: AI, Data Science e Big Data at PUC-RS