I'm a veteran Data Scientist with over two decades of experience, hailing from the picturesque country of Portugal. My journey through 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!
I've delved into the intricate domains of supply chain, logistics, sustainability, finance, and health, where data-driven decision-making optimizes operations and promotes environmental responsibility.
🔭 In research, I'm deeply immersed in applying machine learning and statistics to health. My work harnesses data to advance healthcare solutions and outcomes.
🔭 My research also extends to mathematics, focusing on differential equations and partial differential equations. These tools apply to diverse fields such as epidemiology, economics, and sociology, helping unravel complex phenomena.
🔭 I'm passionate about graph theory and its applications in social networks, where I uncover patterns and connections that provide valuable insights into human interactions.
📈 Beyond these areas, I'm intrigued by the potential of big data analytics in marketing, where customer behaviors and preferences can be decoded to enhance business strategies.
📊 I'm also fascinated by the emerging field of quantum computing and its potential to revolutionize problem-solving in cryptography and optimization.
📐 My research in statistics and probability involves developing models that accurately predict outcomes and assess risks. These models are crucial in fields like finance, insurance, and public policy, where they inform decision-making and strategy.
🌍 Sustainability is another key interest, particularly in developing algorithms that promote renewable energy use and reduce carbon footprints.
🔧 I have extensive experience in statistical modeling in management, including survival analyses, cohort analysis, and production analysis and modeling. My work in optimization of industrial processes ensures efficiency and productivity.
🔬 I enjoy working with Raspberry Pi and sensors, exploring their applications in various fields such as IoT (Internet of Things), automation, and environmental monitoring. This hands-on approach allows me to integrate hardware and software solutions for innovative projects.
Thank you for visiting my profile, and I look forward to connecting and collaborating!
🔗 Connect with me
| Area | Tool |
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| Datalake |   |
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| Streaming |    |
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| Data Analysis and Visualization |   |
| Data Science |                       |
| Machine Learning |               |
| Data Engineering |       |
| Mathematics |         |
| Statistics |        |
| Optimization |         |
| Models |                  |
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📕 Latest Blog Posts in Medium.com
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
Building a Data Team in an Evolving World - Wed, 05 Jun 2024
Unsupervised Anomaly Detection - Mon, 22 Apr 2024
A Comprehensive Guide to Structural Equation Modeling with Latent Variables - Tue, 26 Mar 2024
Comparing Imputation Techniques - Fri, 08 Mar 2024
Partial Least Squares: A Comprehensive Guide to Overcoming Data Challenges - Thu, 29 Feb 2024