Data Scientist and researcher specializing in predictive modeling, statistical analysis, and reproducible analytics. Passionate about turning complex data into actionable insights and building open-source tools for the data science community.
Diogo Ribeiro · ESMAD - Instituto Politécnico do Porto
Research Areas
Machine Learning
1 posts
Statistics
2 posts
Data Visualization
2 posts
Reproducible Research
1 posts
Methodology
Research projects follow a reproducible pipeline: version-controlled code, containerised environments, and open datasets where permitted. Statistical analyses use pre-registered hypotheses and power calculations to ensure rigour.
Current Work
Hierarchical Forecasting under Climate Volatility
International Conference on Smart Energy Systems
Accessible Visualization Platforms for Civic Data
Journal of Open Visualization Research
Open Science Practices for Applied Analytics Teams
ReScience C
Recent Research Posts
Minimal Mistakes Front Matter, Rendered by DataLog
A post written entirely with Minimal Mistakes front matter, rendered by DataLog without a single field renamed.
Read articleDataset Announcement – Retail Demand Benchmark
Today we are releasing the Retail Demand Benchmark dataset to help analytics teams evaluate forecasting models under ...
Read articlePortfolio Case Study with GitHub Insights
Case studies shine when readers can verify the underlying code. This example highlights a recommendation engine proje...
Read articleDisqus CSP Verification
This hidden post exists purely for automated tests that confirm inline scripts emitted by the Disqus embed receive th...
Read articleExperimental Design Blueprint with Power Analysis
Thoughtful experiment logs help product teams align on hypotheses before shipping features. This blueprint captures t...
Read articleMathematical Proof Template with Numbered Equations
Document rigorous mathematics directly inside your documentation hub. This template illustrates how theorem statement...
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