Alberth Florêncio is a data scientist with nine years of applied experience building ML solutions across public security, education, real estate, and automotive domains. He holds an MSc in Computer Science focused on AI and combines research experience (including work on the Minimal Learning Machine) with hands-on engineering using Python, SQL, AWS (SageMaker, Athena, S3, Lambda), and Neo4j. Alberth has delivered end-to-end pipelines from PoC to production, created internal ML libraries, and worked on hybrid recommender systems, graph-based entity resolution, and time series forecasting. At Capgemini Engineering and Anchor Loans he streamlined model deployment and monitoring, and currently contributes to Volkswagen Group Digital Solutions on data-driven products for automotive clients. He pairs a practical engineering mindset with academic rigor and a background in mechatronics hardware prototyping, which helps him bridge data science and systems-level engineering.
9 years of coding experience
8 years of employment as a software developer
Master's degree, Computer Science, Master's degree, Computer Science at Instituto Federal de Educação, Ciência e Tecnologia do Ceará
Technician, Mechatronics, Technician, Mechatronics at Serviço Nacional de Aprendizagem Industrial
Contributions:6 commits, 5 pushes, 1 branch in 1 day
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