About

Data Scientist, Researcher, Open Science Advocate

D

Diogo Ribeiro

Data Scientist

ESMAD - Instituto Politécnico do Porto · Porto, Portugal

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.

245 Citations
9 h-index
12 i10-index

About Me

With a background in data science and multimedia technology, I work at the intersection of statistical modeling, machine learning, and data storytelling. My research focuses on building reproducible analytics pipelines, probabilistic forecasting for critical infrastructure, and accessible visualization systems that bridge the gap between quantitative insights and decision-making.

Skills & Expertise

Languages

Python R SQL Julia JavaScript

Frameworks & Libraries

scikit-learn TensorFlow PyTorch pandas tidyverse Plotly D3.js

Tools & Platforms

Jupyter Docker Git MLflow DuckDB PostgreSQL

Domains

Predictive Modeling Time Series Forecasting Experimental Design Bayesian Statistics Natural Language Processing Data Visualization

Experience

2020 — present

Data Scientist & Researcher

ESMAD - Instituto Politécnico do Porto

Leading research in predictive analytics, energy demand forecasting, and open science methodologies.

2022 — present

Visiting Researcher

Centre for Applied AI

Collaborative research on accessible visualization platforms and reproducible ML pipelines.

Education

2020

MSc in Data Science

ESMAD - Instituto Politécnico do Porto

2018

BSc in Multimedia Technology

ESMAD - Instituto Politécnico do Porto

Research Areas

Publications

Energy Demand Forecasting with Hierarchical Ensembles

Journal of Sustainable Analytics

Designing Accessible Visualization Systems for Smart Cities

Proceedings of VIS4GOOD · with R. Almeida

Open Science Playbook for Applied Analytics Teams

Data Science Practice

Full list on Google Scholar and ResearchGate.

Get in Touch

I welcome collaborations on research, consulting, and teaching. Whether you're interested in data science projects, speaking engagements, or open-source contributions, feel free to reach out.

Loading mathematical content