Carolina Brañas 📊
Carolina Brañas

Data Scientist | Research Assistant

University of Copenhagen

I am a data scientist passionate about machine learning, network analysis, NLP, and geospatial data. I focus on combining advanced analytics with clear, impactful data visualization.

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Experience

  1. Research Assistant, Data Science

    University of Copenhagen
    • Contributed to the Shocking Religion project on religion’s economic impact.
    • Built topic models to uncover thematic trends in text data.
    • Created RAG-based LLM pipelines for document insights.
    • Designed and containerized scalable data workflows; handled large-scale data ingestion and preprocessing; deployed solutions on cloud infrastructure (UCloud).
    • Coordinated with a multidisciplinary research team.

  2. Data Scientist

    Above Sports
    • Automated data workflows to improve efficiency.
    • Developed CV models for brand logo detection.
    • Worked with product teams to refine output quality.
    • Dockerized solutions for scalable and reproducible workflows.

  3. Marketing Strategist

    Crescendo Collective
    • Analyzed campaign data via Google Analytics; managed Google Ads reporting and strategy.
    • Automated internal reporting with Python scripts.
    • Conducted competitor analysis and benchmarks.
    • Collaborated with data team for audience insights; presented reports to stakeholders and clients.

Education

  1. M.Sc. Social Data Science

    University of Copenhagen

    Thesis: Mobility and income segregation in Madrid, Spain.

    Elective Courses:

    • Advanced Machine Learning for Data Science (IT University of Copenhagen)
    • Geospatial Data Science (IT University of Copenhagen)
    • Advanced Network Science (IT University of Copenhagen)
    • Natural Language Processing (DIKU, University of Copenhagen)

  2. B.Sc. Marketing (Computer Science Minor)

    Cardinal Stritch University

    Honours:

    • Dean’s List (2018–2022)
    • Best Graduating GPA of Marketing B.Sc. (2022)
Skills & Hobbies
Technical Skills
Python (numpy, tensorflow, matplotlib, pytorch)
SQL
Bash
Transformers, Topic Modeling (umap, hdbscan, bertopic)
Scikit-learn, Hugging Face
Geopandas, Rasterio, QGIS
Docker
Git
Tools & Platforms
UCloud
Linux
VSCode
Awards
Dean’s List
Cardinal Stritch University ∙ January 2022
Achieved Dean’s List every semester of B.Sc. for a GPA above 3.5 with at least 12 credits.
Best Graduating GPA of Marketing B.Sc.
Cardinal Stritch University ∙ May 2022
Graduated with the highest GPA in Marketing of class 2022.
Academic and Athletic Grant
Cardinal Stritch University ∙ January 2018
Full scholarship for academic excellence and soccer performance over four years.
Languages
100%
Spanish
90%
English
100%
Galician
25%
Portuguese

Projects

Mobility and Income Segregation in Madrid 2024-06-01
https://example.com/madrid-project
M.Sc. thesis analyzing mobility patterns and income segregation in Madrid using geospatial and census data.
Shocking Religion Project 2024-08-01
https://example.com/shocking-religion
Research on the economic impact of religion, using topic modeling and RAG-based LLM pipelines for document insights.
Logo Detection CV Pipeline 2024-04-15
https://github.com/carobs9/logo-detector
Computer vision model for brand logo detection in sports broadcasts; deployed with Docker for scalable inference.