I'm a veteran Data Scientist with over two decades of experience, proudly hailing from the picturesque country of Portugal. My journey through diverse fields such as computer science, economy, management, medicine, natural sciences, engineering, pure mathematics, and applied mathematics has been a continuous source of fascination and inspiration. Welcome to my GitHub profile!

🔗  Connect with me

• Machine Learning: Supervised and unsupervised learning, anomaly detection, time series forecasting, and 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, and numerical methods for complex system analysis.
• Sustainability & Urban Systems: Data-driven models for energy optimization, smart environments, and traffic prediction.

• Programming Languages:
  Python, SQL, R, Bash/Zsh, Fortran, Ruby, Rust, TypeScript

• ML & Data Tools:
  Scikit-Learn, XGBoost, LightGBM, TensorFlow, Statsmodels, Prophet

• Data Engineering & Streaming:
  Apache Kafka, Flink, Iceberg, Spark, Hadoop

• Visualization:
  Matplotlib, Seaborn, Plotly

• IoT & Automation:
  Raspberry Pi, MQTT, edge computing, real-time sensor pipelines

• DevOps:
  GitHub Actions, Docker, Jenkins

• Databases:
  PostgreSQL, MySQL, DynamoDB, AWS S3, Mongo DB, Iceberg

• Analytics & Modeling:
  Cohort analysis, optimization, forecasting, and survival models

• Health Data Science
  Real-time monitoring, anomaly detection, and disease prediction using wearable and IoT data. Applications in chronic disease management, mental health, and public health.

• Genomics & Precision Medicine
  Predictive models using genetic data for personalized treatment and drug response.

• Health Economics
  Cost-effectiveness analysis and resource optimization for healthcare systems.

• Mathematics & Differential Equations
  Numerical solutions to ODEs and PDEs in physical and biological systems.

• Graph Theory & Social Networks
  Dynamic network analysis for understanding information flow, influence, and disease spread.

• Big Data & Marketing Analytics
  Behavioral modeling, segmentation, and sentiment analysis for strategic decision-making.

• Sustainability & Energy Systems
  Machine learning and optimization in renewable energy forecasting and grid efficiency.

• Smart Environments & Sensor Networks
  Sensor-based systems for smart homes, energy monitoring, urban mobility, and weather prediction. Focus on signal processing, localization, and adaptive models for context-aware decision-making.

• Behavioral & Labor Economics
  Modeling decision-making, skill transitions, and the impact of automation on work.

• Financial Risk & Economic Forecasting
  Real-time models for risk assessment and macroeconomic prediction using diverse data sources.

• Inequality & Sustainable Development
  Studying income distribution and climate policy impacts using data-driven economic models.

• Extensive Experience: Over 20 years in data science, spanning multiple disciplines and industries.
• Interdisciplinary Approach: Combining knowledge from computer science, mathematics, economics, and natural sciences to solve complex problems.
• Hands-On Projects: Practical experience with IoT, automation, and environmental monitoring using Raspberry Pi and sensors.
• Advanced Research: In-depth exploration of machine learning applications, mathematical modeling, and quantum computing.

Thank you for visiting my profile. I'm always open to connecting with fellow data enthusiasts, researchers, and professionals. Whether you're interested in collaborating on a project, discussing innovative ideas, or exploring new opportunities, feel free to reach out!

Feel free to explore my repositories and contributions. Let's drive innovation and make impactful advancements together!

📕  Latest Blog Posts in Medium.com

Essential PySpark Commands - Fri, 25 Oct 2024

Optimization: The Science of Making Better Decisions - Wed, 09 Oct 2024

XGBoost - Tue, 08 Oct 2024

GitHub Actions: Automate Your Development Workflow - Sun, 06 Oct 2024

Operations Research in Financial Portfolio Optimization - Thu, 05 Sep 2024

Mastering Python Dataclasses - Fri, 19 Jul 2024

Guiding a Data Scientist Towards More Effective Communication - Thu, 18 Jul 2024

What is Metadata Management? - Thu, 18 Jul 2024

Establishing Best Practices for Data Science Teams - Mon, 15 Jul 2024

Mastering Project Ownership and Management: Building Effective Teams and Processes - Sat, 13 Jul 2024