Skills

• Data & Analysis: Python, R, SQL, GIS, ETL and API workflows, data visualization

• Tools: Python: GeoPandas, scikit-learn, PyTorch, Plotly Dash; R: Shiny, ggplot2, fields

• Software: ArcGIS and QGIS, MS Office and Google Workspace, Adobe CC, GitHub

• Research: Quantitative and qualitative methods; (spatial) statistics and data analysis; literature review and reporting

• Soft Skills: Organization and coordination of interdisciplinary teams; structured project planning

• Languages: German (native), English (native proficiency)

Experience                                                                                                                        

Mar 2025 – Jan 2026 —       Multimedia Agency — Freelance / Self-Employed

• Design- and data-focused projects: cartography and spatial modeling, ETL and automation, web and print design.

• Content development and community management: combination of creative work and technical implementation.

• Successfully secured funding for a municipal youth initiative through planning and 3D visualization.

Mar 2024 - Jul 2025 —   Harvard University — Research Assistant

• Contributed to the development of hypotheses and methodologies within an interdisciplinary and international team.

• Co-author of scientific publications in neuropsychology: “Neighborhood Deprivation and Adolescent Mental Health”, Journal of the American Academy of Child & Adolescent Psychiatry (2025).

• Planned, designed, and built ETL Python scripts for research studies.

• Data cleaning, validation, and (cartographic) data visualization using R.

• Processing and (spatial) analysis of large, heterogeneous datasets, including mobility, GPS, environmental, weather, symptom, and clinical data.

Mar 2022 – Jan 2025 —         Midjourney — Guide & Beta-Testerin

• Moderation and support within an international community (1M+ members).

• Performed benchmarking, red teaming, and UX testing for generative AI models.

• Created user documentation and tutorials.

EDUCATION

University of Groningen, Netherlands

  2020 - 2024 — BSc Human Geography & Planning GPA: 7,9/10

• Relevant coursework: Statistics I & II, GIS (8.8), Population Geographies (8.4)

• Bachelor thesis (8.3): ‘Ageing Hearts, Limited Care’ [GitHub]

2022 - 2023 — Minor in Data Science GPA: 8,4/10

• Python, R, machine learning, data visualization

• Interdisciplinary capstone project (9.2): R Shiny dashboard on “Mobility in the Northern Provinces” for Statistics Netherlands (CBS). Responsible for API integration, ETL, spatial visualization, and dashboard design.