Lucas Félix is a Senior Data Scientist with nine years of experience building and operationalizing machine learning solutions across industry and research settings, currently working at Predict.law and pursuing a PhD at UFMG. He combines hands-on Python and PySpark engineering with expertise in recommender systems, optimization and statistics, having migrated and productionized models on Databricks and integrated outputs into BI dashboards. Lucas has led and mentored teams, driving scalable data pipelines and reproducible workflows while also advising academic programs (MBA USP/Esalq) and contributing to research roles at INRIA. His background spans applied projects for large mining and chemical clients, open-source development on SDN platforms, and teaching roles—evidence of a rare mix of product delivery, academic rigor, and developer-first tooling. Notably, he translates R prototypes into robust Python pipelines and has published practical forecasting implementations on GitHub used for thesis work and industry pilots.
9 years of coding experience
9 years of employment as a software developer
Doctor of Philosophy - PhD Ciência da Computação, Doctor of Philosophy - PhD Ciência da Computação at Universidade Federal de Minas Gerais
Bachelor's degree Computer Science, Bachelor's degree Computer Science at Universidade Federal de São João del-Rei - UFSJ
Contributions:48 commits, 47 pushes, 1 branch in 5 months
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