I'm a seasoned Data Scientist with over a decade of experience in the field, hailing from the picturesque country of Portugal. My journey through the realms of pure and applied mathematics has been a source of fascination and inspiration throughout my career. Welcome to my GitHub profile!
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I've delved into the intricate domains of supply chain, logistics, sustainability, finance and health where data-driven decision-making plays a pivotal role in optimizing operations and promoting environmental responsibility.
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🔭 In the realm of research, I'm deeply immersed in exploring the application of machine learning and statistics in the domain of health. My work involves harnessing the power of data to make advancements in healthcare solutions and outcomes.
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🔭 Additionally, my research extends to the realm of mathematics, particularly focusing on differential equations and partial differential equations. These mathematical tools find applications in diverse fields such as epidemiology, economics, and sociology, where they help unravel complex phenomena.
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🔭 I'm also passionate about graph theory and its applications in social networks, where I uncover patterns and connections that provide valuable insights into human interactions.
🔗 Connect with me
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📕 Latest Blog Posts in Medium.com
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
Depths of Logistic Regression - Wed, 28 Feb 2024
Modeling the Supply Chain of Second-Hand Cars - Tue, 27 Feb 2024
DBSCAN for Clustering Analysis - Tue, 27 Feb 2024
Fair Value Portfolio Hedging for a Bank - Mon, 26 Feb 2024
Python Type Checking - Sun, 25 Feb 2024
Energy Optimization for a Production Facility - Sun, 25 Feb 2024
📕 Latest Blog Posts in https://diogoribeiro7.github.io/
- Efficiency in Research: The Strategic Role of Importance Sampling
- The Limitations of Aggregated GDP Data in Data Science Analysis
- Stratified Sampling
- Survival Analysis in Management
- Kernel Clustering in R
Read more
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