I work at the intersection of product management, User Experience, and geospatial technology.
With experience in mapping, mobility, and spatial analytics from my time at the University of Pennsylvania, I’ve built and scaled user-centric geospatial products.
Hi, I’m Vrinda!
At Snaptrude (Series A), I worked with a small product team to scale a design platform, shaping product strategy, user experience, and workflows.
At WeWork, I worked with the product and data team, focusing on spatial analytics, real estate insights, and digital tools for the built environment.
At DevLab@Penn, I conduct research on human development and spatial data, applying geospatial methodologies to policy and infrastructure challenges.
My career so far
What do I do?
Product Management – Strategy, execution, and cross-functional collaboration
UX & Design – User research, prototyping, and intuitive interfaces for spatial products
Geospatial & Navigation – Routing, mapping, and mobility intelligence
Data & Market Analysis – Leveraging insights to drive product decisions
Project Execution – Working across teams to launch and scale high-impact products
Read my blog
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Read my blog *
August 2024
Adversarial GeoTagging
The vulnerabilities of location data—how geotags can be misused, spoofed, or manipulated, and what this means for mapping accuracy, privacy, and security.
November 2023
Shadow Networks
The invisible layers of mobility—unmapped transport systems, informal logistics, and unregistered routes—that shape urban movement beyond official datasets.
September 2024
15-Minute Cities
A critical look at the feasibility of hyper-local urban models, and whether geospatial data supports or contradicts the promise of fully self-sufficient neighborhoods.
Tools and Skills
Product & UX
Figma, Adobe XD – Prototyping and interaction design
JIRA, Notion – Product management and workflow execution
Postman, Swagger – API testing and documentation
Geospatial/Mapping
Google Maps API, Mapbox, OpenStreetMap – Routing and visualization
PostGIS, QGIS, GeoPandas – Spatial data processing and analysis
Geopy, GDAL – Geocoding, coordinate transformations, and data conversion
Data & Analytics
Python (Pandas, NumPy, Scikit-learn) – Data analysis and modeling
SQL, BigQuery – Querying and processing large-scale spatial data
Tableau, Kepler.gl, Deck.gl – Data visualization and geospatial storytelling
Systems & Execution
Google Cloud, AWS – Cloud-based geospatial computing
Git, Docker – Version control and deployment
Flask, FastAPI – Backend development for geospatial applications