Data Scientist | Control & Automation Engineer | Industrial and Business Analytics | Performance Strategy
With 4 years of experience in large-scale industrial operations (Vale & Norsk Hydro) and 2 years as a (University Professor at Federal University of Western Pará) in Artificial Intelligence and Data Science, I specialize in transforming operational and production data into performance-driven decision systems.
My background combines operational KPI governance, ETL/ELT and data engineering pipelines, alongside academic experience as a university lecturer, delivering courses in Artificial Intelligence, Data Science, Project Management, and Managerial & Cost Accounting.
- Operational Performance Indicators (KPIs)
- Industrial Process Monitoring & Optimization
- Data Engineering & Analytics
- Supervised & Unsupervised Machine Learning
- Decision Support Systems for Production & Logistics
🔹 Churn Prediction Model – Supervised ML using Random Forest
🔹 Geospatial Market Expansion Analysis – Clustering & spatial analytics
🔹 Financial Fraud Detection (AI) – Isolation Forest & anomaly detection
🔹 Industrial KPI Dashboard – Hierarchical operational performance monitoring
🔹 Logistics Lead-Time Analysis – Statistical modeling using real industrial data
- Six Sigma Green Belt
- Microsoft Azure Data Fundamentals
- Google Cloud Data & ML
- International publications in Automatic Control & Engineering Education
🇧🇷 Versão em Português
Cientista de Dados e Engenheiro de Controle e Automação com atuação em operações industriais em larga escala, gestão de KPIs operacionais e aplicação de Machine Learning para otimização de performance.
Experiência em ETL, analytics industrial, governança de indicadores e suporte analítico à tomada de decisão operacional e estratégica.