Gustavo Alexandre is a data scientist and seasoned data engineer with over 15 years of hands-on experience in database administration, software development, and systems analysis across oil & gas, higher education, and government sectors. He combines deep expertise in Oracle/MySQL DBA work, data management frameworks (DMBOK, CRISP‑DM, TOGAF), and modern data science stacks (Python, R, PyTorch, TensorFlow, HuggingFace) to deliver end‑to‑end analytical solutions and decision support systems. Gustavo has built production ML pipelines and applied XAI (SHAP, LIME), NLP (Spacy, BERT), and OCR-driven extraction in real projects—most notably a dropout risk predictor for a large federal university and classification/extraction systems for audit and control at a state audit court. As an educator and researcher, he teaches database and data science courses while driving data governance, ETL/BI, and JupyterHub deployments in public institutions. He is an advocate for open-source and open data, leveraging tools from Docker and RabbitMQ to cloud AutoML to turn messy, multi-modal data into actionable insights.
8 years of coding experience
1 year of employment as a software developer
Master's degree, Data Science, Master's degree, Data Science at PPCIC – Graduate Program in Computer Science
Pontifical Catholic University of Rio de Janeiro
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Universidade Estadual de Santa Cruz
Repositório de material complementar para Estruturação e Manipulação de Dados em SQL
Contributions:1 release, 32 commits, 2 PRs in 1 year 4 months
dadosestruturasqlcomplementarrio
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