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darlianecunha/README.md

Hi, I'm Darliane Cunha

Sustainability & ESG Data Scientist | PhD | Maritime decarbonisation, environmental AI, SDGs | Python, ML, NLP | Open to remote collaborations

LinkedIn ORCID Google Scholar

About Me

PhD in Accounting and Finance (Universidad de Zaragoza, Spain) and a post-doctoral fellowship at Erasmus University Rotterdam (2024-2025). My work sits at the intersection of maritime decarbonisation, AI-driven sustainability analytics, and SDG implementation, where I turn raw port and regulatory data into dashboards, AI tools, and open-access platforms used by port authorities, regulators, and researchers. I build end-to-end data products in Python (pandas, scikit-learn, Streamlit), with applied work in emission monitoring, NLP-based ESG analysis, and computer vision for environmental detection. I am open to remote collaborations and data roles in sustainability, ESG, and climate analytics.

  • Research areas: Maritime AI, port environmental performance, NLP for sustainability, computer vision for environmental monitoring, SDG indicators

Featured Projects

Competency Project What it is Links
Machine Learning vessel-efficiency-ml scikit-learn pipeline predicting ships' CO2 efficiency grades (A-E) from EU MRV data Code · DOI
SQL / Data Engineering antaq-port-sql DuckDB star-schema warehouse of Brazilian port operations Code · DOI
Python Library maritimeco2 Citable library estimating OPS-avoidable at-berth CO2 (IMO method) Code · DOI
Data Analysis shipping-methane-monitor Two-year observatory of verified CH4/N2O from 14,000+ ships (EU MRV) Live · Code
Regulatory Analytics shipping-carbon-costs 3,303 companies ranked by EU ETS carbon cost (EUR 6.99bn/yr) Live · Code
Remote Sensing eu-ports-no2 NO2 over 17 EU ports from Sentinel-5P satellite data Live · Code
Computer Vision blueport-ai2 Port waste classification with CLIP + Telegram bot Live · Code
NLP / Text Mining textmining PDFWords: PDFs to VOSviewer co-occurrence networks, in-browser Live · DOI
Data Platform brazilportdata Research hub for the Brazilian port sector (ANTAQ data) Live
SDG Analytics atributosods Peer-reviewed port sustainability framework (Marine Policy 2025) Live · DOI

Full portfolio with all tools: cunha-data-science.vercel.app

Tech Stack

Python Streamlit scikit-learn pandas

Pinned Loading

  1. maritimeco2 maritimeco2 Public

    Open Python library estimating OPS-avoidable at-berth CO2 for liquid bulk (tanker) vessels, IMO Fourth GHG Study 2020 method.

    Python

  2. shipping-methane-monitor shipping-methane-monitor Public

    Two-year observatory of verified CH₄ and N₂O emissions from ships calling at EU ports, from the EU MRV dataset (2024 to 2025). Tracks the CO₂-to-methane trade-off and the 2026 ETS methane bill. Liv…

    HTML 1

  3. antaq-port-sql antaq-port-sql Public

    Reproducible SQL data warehouse of Brazilian port operations (ANTAQ-style). DuckDB star schema with documented analytical queries (joins, CTEs, window functions) over berthings and cargo.

    Python

  4. vessel-efficiency-ml vessel-efficiency-ml Public

    ML pipeline predicting a ship's CO2 efficiency grade (A-E) from structural attributes using EU MRV data. Leakage-free features, scikit-learn models, stratified CV, permutation importance.

    Jupyter Notebook

  5. blueport-ai2 blueport-ai2 Public

    Built with Python, OpenAI CLIP (zero-shot image classification) and the Telegram Bot API. A port- specific image dataset is being curated to fine-tune and evaluate the model as the project matures.

    Python

  6. textmining textmining Public

    PDFWords: bibliometric text-mining tool that turns PDFs into word co-occurrence networks for VOSviewer. 100% in-browser, no upload.

    HTML