CV

Summary

Data Scientist with hands-on experience building machine learning and NLP models (including RAG and topic modeling) and scalable containerized data workflows. Interests span network analysis, geospatial data, and applied machine learning for actionable insights.

Experience

• May 2024 – Present: Research Assistant (Data Science), University of Copenhagen
  • Shocking Religion project: topic models (BERTopic/UMAP/HDBSCAN) on large text corpora.
  • Built RAG-based LLM pipelines for document insights.
  • Designed and containerized scalable ingestion & preprocessing workflows (UCloud).
  • Coordinated with multidisciplinary research team.
• Oct 2023 – May 2024: Data Scientist, Above Sports, Denmark
  • Automated data workflows to improve efficiency.
  • Developed computer vision brand logo detection models.
  • Dockerized solutions for reproducible ML workflows.
  • Collaborated with product to refine output quality.
• Sep 2021 – May 2022: Marketing Strategist, Crescendo Collective, United States
  • Analyzed campaign performance (Google Analytics, Ads).
  • Automated internal reporting with Python scripts.
  • Competitor analysis and audience benchmarks; stakeholder reporting.

Education

• M.Sc. Social Data Science, University of Copenhagen (2022 – 2024)
  • Thesis: Mobility and income segregation in Madrid, Spain.
  • Selected Courses: Advanced Machine Learning (ITU), Geospatial Data Science (ITU), Advanced Network Science (ITU), NLP (DIKU).
• B.Sc. Marketing (Computer Science Minor), Cardinal Stritch University (2018 – 2022)
  • Honors: Magna Cum Laude; Dean’s List (2018–2022); Best Graduating GPA (Marketing, 2022).

Skills

• Programming & Data: Python (pandas, numpy, matplotlib, tensorflow, pytorch, scikit-learn), SQL, Bash
• ML & NLP: Transformers, RAG, Topic Modeling (UMAP, HDBSCAN, BERTopic), Computer Vision, Predictive Modeling, Feature Engineering
• Visualization & Analysis: Matplotlib, Seaborn, Tableau, Power BI, Statistical Analysis, Data Wrangling
• Geospatial: Geopandas, Rasterio, QGIS, Spatial Analysis
• Cloud & DevOps: Docker, Git, Linux, AWS, UCloud, CI/CD, VSCode
• Other: LaTeX, Overleaf, Statistics

Languages

• Spanish (Native)
• Galician (Native)
• English (Professional)
• Danish (Beginner)

Awards

• Dean’s List (2018–2022): GPA above 3.5 each semester.
• Best Graduating GPA Marketing B.Sc. (2022).
• Academic and Athletic Grant (2018–2022): Full scholarship for academic excellence and soccer performance.