I’m a data visualization designer / analyst with a background in architecture, urban studies, and UX/UI design.
I work at the intersection of data, design, and cities, turning complex datasets into clear, thoughtful visual stories.
My main interests include housing, inequality, urban policy, and mapping, with a strong focus on clarity, structure, and narrative.
- Data & analysis: Python (Pandas, GeoPandas), SQL
- Visualization: Plotly, Observable, D3.js (learning), Tableau
- Mapping: GeoPandas, QGIS
- Web & design: Streamlit, HTML/CSS/JS (learning), Figma, Framer, Illustrator
Most projects here are self-initiated and based on open data, exploring:
- housing affordability & urban inequality
- long-term trends and policy indicators
- map-based and exploratory visual storytelling