Senior Data Scientist • Mathematician • between United Kigdom and Portugal

“Knowledge is knowing a tomato is a fruit; wisdom is not putting it in a fruit salad.”

— Miles Kington

I’m a data scientist with over 20 years of experience applying machine learning and statistical analysis across domains—from logistics and supply chains to healthcare and engineering—now focused on natural language processing and statistical modeling to extract insights from unstructured text and drive solutions for climate change and sustainability.

• Machine Learning
  Supervised and unsupervised learning, anomaly detection, time series forecasting, optimization.

• Graph & Network Analysis
  Modeling social and interaction networks using graph theory and dynamic metrics.

• Big Data Analytics
  Pattern discovery in marketing, logistics, and urban systems using structured and unstructured data.

• Mathematical Modeling
  Differential equations, statistical inference, numerical methods for complex systems.

• Sustainability & Urban Systems
  Data-driven models for energy optimization, smart environments, traffic prediction.

• Programming Languages
  Python, SQL, R, Bash/Zsh, Fortran, C, TypeScript

• ML & Data Tools
  Scikit-Learn, XGBoost, LightGBM, TensorFlow, Statsmodels, PyTorch, Numpy, Pandas, Polars and FireDucks

• Data Engineering & Streaming
  Apache Kafka, Flink, Spark, Databricks

• DevOps
  GitHub Actions, Docker, Jenkins

• Databases
  PostgreSQL, MySQL, SQLite, DynamoDB, AWS S3, MongoDB, Iceberg, InfluxDb

• Health Data Science
• Graph Theory & Social Networks
• Big Data & Marketing Analytics
• Sustainability & Energy Systems
• Smart Environments & Sensor Networks
• Behavioral & Labor Economics
• Inequality & Sustainable Development

• Interdisciplinary approach combining computer science, mathematics, economics, and natural sciences.
• Practical projects in IoT, automation, and environmental monitoring using Raspberry Pi and sensors.
• Advanced research in machine learning applications, mathematical modeling and statistics.

Thanks for visiting! I’m eager to partner with fellow data enthusiasts, researchers, and professionals. Browse my projects or get in touch—I’m always open to exploring ideas and driving impactful innovation together.