Sustainability Data Scientist | PhD | Maritime decarbonisation, port emissions analytics, ESG text mining, SDG indicators | Python, ML, NLP, SQL
Open to data science, sustainability analytics and research roles in ports, shipping and climate, in the Netherlands and across Europe.
I turn raw port, ship and regulatory data into evidence, dashboards and open tools used by port authorities, regulators and researchers. Full Professor at the Federal University of Maranhão (Brazil), PhD in Accounting and Finance (Universidad de Zaragoza), postdoctoral research at Erasmus University Rotterdam (2024–2025).
- What I work on: at-berth and anchorage CO₂ inventories, EU MRV and EU ETS analytics, onshore power supply business cases, text mining of sustainability reporting, SDG assessment frameworks for ports, computer vision for environmental monitoring.
- Data I know well: EU MRV / THETIS, Copernicus Sentinel-5P, ANTAQ (Brazil's waterway regulator), port-call records, IMO GHG Study methods.
- Stack: Python (pandas, scikit-learn, Streamlit), SQL (DuckDB), NLP, CLIP, React/TypeScript, Vercel, GitHub.
| Competency | Project | What it is | Links |
|---|---|---|---|
| Regulatory analytics | shipping-methane-monitor | Two-year observatory of verified CH₄ and N₂O from 16,664 ships (EU MRV 2024–2025): same ships cut CO₂ 5% and raised CH₄ 21% | Live · Code · DOI |
| Carbon pricing | shipping-carbon-costs | 3,303 companies ranked by EU ETS carbon cost (€6.99 bn/yr) | Live · Code |
| Remote sensing | eu-ports-no2 | NO₂ enhancement over 17 European ports and shipping lanes from Sentinel-5P | Live · Code |
| Machine learning | vessel-efficiency-ml | Leakage-free scikit-learn pipeline predicting ships' CO₂ efficiency grades (A to E) | Code · DOI |
| Port emissions | Brazil_Vessel_Call_Intelligence | 30,972 port calls, 8,506 vessels, at-berth CO₂ and OPS potential, benchmarked against the EU MRV fleet | Code · DOI |
| Python library | maritimeco2 | Citable library for OPS-avoidable at-berth CO₂ (IMO method), behind decarbport.com | Code · DOI |
| SQL / data engineering | antaq-port-sql | DuckDB star-schema warehouse of Brazilian port operations with documented queries | Code · DOI |
| SDG analytics | atributosods | Peer-reviewed port sustainability framework, 84 indicators (Marine Policy 2025) | Live · Code · DOI |
| NLP / text mining | textmining | PDFWords: PDFs to VOSviewer co-occurrence networks, in the browser | Live · DOI |
| Data platform | brazilportdata | Research hub for the Brazilian port sector (ANTAQ data) | Live |
| Computer vision | blueport-ai2 | Waste classification for ports, CLIP + linear probe, 94.6% cross-validated accuracy; runs in the browser | Try it · Code · HF Space |
Full portfolio with all tools: cunha-data-science.vercel.app
- Cunha, D. R., & Pereira, N. N. (2026). Mapping ESG evolution in Brazilian ports: A text-mining approach to sustainability reporting. Marine Policy, 107287. doi:10.1016/j.marpol.2026.107287
- Cunha, D. R., Porte, M. S., & Oliveira, C. B. M. (2026). A bibliometric analysis of port decarbonisation as a policy-driven transition. Discover Sustainability, accepted.
- Cunha, D. R., Costa, M. D. C., Oliveira, C. B. M., & Pereira, N. N. (2025). SDG attributes: A sustainability assessment framework for Brazilian ports. Marine Policy, 181, 106841. doi:10.1016/j.marpol.2025.106841
20 peer-reviewed articles, 5 in Scopus Q1 journals; reviewer for 26 international journals. Full list on ORCID.
