Summary
Lucas Braga is a Senior Data Scientist with eight years of experience turning noisy, operational datasets into production-ready ML solutions across logistics and heavy industry. Based in Minas Gerais, Brazil, he specializes in feature engineering, model architecture, and hyperparameter tuning, and consistently applies MLOps practices—Kedro, MLflow, Databricks—to deliver reproducible pipelines and measurable business impact. At BIP Brasil he built end-to-end ML lifecycles that cut Spark runtime fourfold and reduced cloud spend by 30%, while leading junior teammates in experiment design and code quality. His background blends hands-on time-series forecasting and ARIMA/Prophet work that saved millions in logistics with platform engineering that automates retraining and CI/CD. Curious by nature, he pairs a strong statistical mindset with pragmatic engineering—if you listen closely to his UNIX shell quip, you’ll find a developer who appreciates both low-level craft and scalable systems.
8 years of coding experience
5 years of employment as a software developer
Bachelor's, Computer Science, Bachelor's, Computer Science at Universidade Federal de Lavras
English, French