Urban computing / spatial systems / quantitative research
I develop computational tools for spatial and financial intelligence, combining interactive mapping, simulation, data visualization, and quantitative research to analyze complex systems and decision environments.
I develop simulation models that examine how changes in infrastructure, policy, and human behavior influence movement, accessibility, and urban performance.
A good map or dashboard makes complex systems easier to understand by revealing where access breaks, where risk clusters, how movement flows, and which assumptions shape the outcome.
Every strategy is developed through iterative research, combining hypothesis testing, validation, failure analysis, and continuous improvement.
About
My work began in urban planning and urban computing: route-finding tools, accessibility models, mobility simulations, policy games, 3D geographic visualizations, and spatial dashboards. I now apply the same research discipline to quantitative equity work: signal design, portfolio simulation, execution-aware testing, regime analysis, path behavior, and trade diagnostics.
Focus areas
Interactive systems for route-finding, land use, traffic, walkability, policy choices, and city data.
Maps, dashboards, network analysis, accessibility models, and 3D geographic visualizations.
Mobility, traffic, housing, evacuation, policy, and agent-based scenarios built as explorable prototypes.
Signal design, backtesting, portfolio simulation, robustness checks, and trade-level diagnostics.
Research
In urban computing, I have built prototypes for pathfinding across city networks, dead-end street analysis, green-space accessibility, land-use and traffic patterns, school access, parking supply, policy decision games, public safety, and emergency response.
In market research, I build systematic workflows for signal design, walk-forward testing, leakage audits, portfolio simulation, execution-aware replay, failure detection, path similarity, open-position risk, and hold/exit decision support.
Network access
Route-finding, accessibility, street connectivity, and service-area analysis.
Developed an interactive route-planning system that applies the A* search algorithm to real urban street networks in Mumbai, Delhi, Bengaluru, and New York. The project visualizes both the shortest path and the algorithm’s search behavior, making route optimization, graph traversal, and urban network structure easier to interpret.
Built a comparative street-network analysis of dead-end road patterns in Delhi, Mumbai, and Bengaluru to study urban permeability, local accessibility, and circulation constraints. The project examines how fragmented street layouts affect neighborhood movement, route choice, and connectivity.
Designed a walkability scoring model using street networks, amenities, land use, pedestrian infrastructure, safety conditions, and urban design factors. The project evaluates how accessible, connected, and pedestrian-friendly different urban areas are.
Analyzed school accessibility in Shibuya, Japan by evaluating walking access, school locations, street networks, and safe-route conditions. The project studies how easily children and families can reach schools within the neighborhood environment.
Developed a retail accessibility analysis evaluating travel-time access to Walmart locations. The project uses isochrone-based spatial analysis to show how easily people can reach retail services from different areas.
Developed an urban wayfinding prototype grounded in city legibility, pedestrian navigation, and behavioral movement theory. The project connects urban design literature with interactive visual explanation of how people understand and navigate cities.
Spatial dashboards
Interactive maps, dashboards, globes, and visual systems for reading urban data.
Designed a green-space accessibility framework to evaluate parks not just by location, but by practical usability, service area, size, coverage, and surrounding urban context. The project developed a Park Usability Index to compare how effectively different green spaces serve nearby populations.
Developed an interactive land-use and traffic analysis project to examine how building functions, urban density, and spatial clustering relate to movement patterns. The project connects apartments, commercial activity, and mixed-use areas with traffic and accessibility conditions.
Developed a 3D global air-pollution visualization to compare city-level PM2.5 patterns across the world. The project turns environmental pollution data into an interactive geographic interface for identifying spatial differences in air-quality exposure.
Created a 3D migration-flow globe to visualize movement between places through animated spatial flows. The project represents migration as a dynamic geographic system, helping communicate direction, scale, and connectivity between regions.
Developed an interactive energy visualization comparing production and consumption patterns across countries. The project explains differences in energy resources, infrastructure, supply, and demand through spatial comparison.
Built a reusable 3D globe visualization system for global spatial analysis and interactive data presentation. The system supports multiple themes, including migration, pollution, climate, and country-level data overlays.
Created a transparent country-boundary globe to explore alternative ways of representing world geography. The project focuses on global boundary visualization, spatial form, and interactive geographic design beyond conventional flat maps.
Built a climate and temperature globe visualization to communicate environmental change across time and geography. The project uses a global interface to show temporal climate patterns and spatial differences in temperature-related data.
Built an interactive geospatial map of meteorite landings to practice spatial visualization, point clustering, and geographic data exploration. Although outside core urban planning, the project demonstrates transferable mapping and geographic analysis skills.
Developed a migration-focused globe visualization system for representing world geography and movement flows. The project supports interactive global mapping and migration-flow analysis through a 3D spatial interface.
Developed a city-pulse dashboard prototype using NYC building and spatial data to represent urban geometry, grid structure, and city attributes. The project explores how raw spatial information can be converted into an interactive dashboard for reading city activity.
Mobility systems
Traffic behavior, transport demand, parking, vehicle movement, and travel patterns.
Analyzed how major event venues in Manhattan influence nearby traffic pressure and street-level congestion. The project focuses on high-activity locations such as Madison Square Garden and evaluates how event demand can reshape movement patterns around surrounding road networks.
Built an emergency vehicle dispatch simulation to evaluate ambulance movement, signal response, departure timing, and traffic-priority scenarios. The project compares how different signal-priority distances affect emergency vehicle flow and response behavior in urban traffic conditions.
Built a multi-city parking analysis project to compare parking supply across central business districts and wider urban areas. The project examines how parking availability, land consumption, and CBD structure differ across global cities and influence urban form.
Designed a shared autonomous taxi simulation comparing roaming autonomous taxis with conventional taxis that require parking between trips. The project evaluates how autonomous mobility could affect parking demand, vehicle circulation, waiting time, and transport efficiency.
Conducted a comparative congestion-pricing study across Manhattan, Singapore, London, and Stockholm. The project examines cordon pricing, peak/off-peak pricing, road-use charges, and demand- management logic to understand how pricing can influence urban traffic behavior.
Built a taxi and commercial-center simulation to study how transport demand interacts with business districts and activity nodes. The project examines how movement, waiting, and commercial concentration shape urban mobility patterns.
Explored taxi trajectory data to analyze vehicle movement over time using location traces. The project focuses on transforming raw mobility traces into interpretable urban movement patterns.
Built Uber pickup-location visualizations to analyze ride-hailing demand patterns across New York City. The project identifies where demand concentrates and how pickup activity varies spatially across the city.
Built a vehicle waiting-time visualization to show how delay, queueing, and movement evolve in traffic and congestion scenarios. The project communicates operational traffic behavior through animated visual analysis.
Built an aircraft movement visualization to represent spatial movement, density, and clustering patterns. The project compares different visual methods for communicating aircraft location and movement behavior across space.
Housing and development
Housing dynamics, neighborhood change, land-use regulation, and development workflows.
Designed a housing dynamics simulation to model affordability, rent pressure, income groups, neighborhood desirability, migration, and district-level housing change. The project compares planning scenarios such as affordable housing allocation, density, sprawl, workplace proximity, and income inequality.
Developed a neighborhood-change model to study gentrification through housing, income, education, demographic composition, and neighborhood transition variables. The project translates urban theory into a simulation framework for analyzing how neighborhoods evolve under economic and social pressure.
Built a CBD activity analysis project comparing downtown intensity and central business district performance across global cities. The project evaluates urban-center strength, activity concentration, and differences in how CBDs function across city contexts.
Prepared a formal planning report on craft beverage and brewery zoning strategies. The project analyzes land-use regulation, zoning constraints, local economic development, and planning considerations for brewery-related development.
Developed a sustainable neighborhood design framework using international case studies such as Vauban, Freiburg and Hammarby Sjostad, Stockholm. The project connects car-free design, mixed use, green infrastructure, and energy systems with algorithmic planning concepts.
Designed a real-estate and district movement simulation to study how population density, district attractiveness, and development conditions influence movement between urban areas. The project models how people, investment, and urban activity can shift across changing districts.
Developed a planning advisory web concept focused on zoning navigation, site plan approvals, environmental review, development guidance, and urban project support. The project frames planning services around the practical workflow from regulation to project implementation.
Safety and risk
Public safety, emergency movement, road risk, and urban vulnerability analysis.
Developed a child-friendly city safety analysis combining crime exposure, traffic risk, collision patterns, pedestrian safety, and safe-zone mapping. The project evaluates how urban conditions affect children’s ability to move safely through neighborhoods and public spaces.
Researched and designed a bicycle safety simulation framework focused on cyclist-vehicle interaction, near-miss events, conflict points, and road-risk behavior. The project studies how safety risks emerge from traffic movement, speed, proximity, and interaction patterns.
Analyzed Manhattan public-safety patterns using crime and arrest data to identify offense categories, spatial hotspots, and neighborhood-level risk patterns. The project translates public-safety data into interactive geographic analysis.
Designed a metro-station crowd evacuation simulation modeling passenger flows, platform crowding, stair bottlenecks, boarding, exiting, and train movement. The project evaluates how people move through high-density transit environments during normal and emergency scenarios.
Analyzed alcohol-impaired driving patterns using traffic-safety data to study crash risk, fatality patterns, and BAC-related variables. The project examines how impaired driving contributes to road-safety outcomes.
Prototyped a disaster-oriented 3D city visualization focused on evacuation planning, hazard awareness, and emergency preparedness. The project communicates urban vulnerability and evacuation logic through an interactive city environment.
Developed an urban traffic-noise simulation to study how congestion, vehicle flow, and driver behavior affect honking frequency. The project models junction-level sound behavior and evaluates how traffic conditions can contribute to urban noise stress.
Designed autonomous vehicle and pedestrian interaction scenarios for crosswalks, jaywalking, pedestrian-heavy areas, and mixed-traffic environments. The project examines how vehicle reaction time, braking, speed, and pedestrian movement affect safety outcomes.
Policy and social systems
Scenario tools for governance, resource allocation, public goods, and collective behavior.
Designed an interactive urban policy game that converts planning decisions into scenario-based tradeoffs and consequences. The project models policy choices across housing, traffic, crime prevention, green space, disaster management, budgets, stakeholders, equity, and governance constraints.
Built an interactive resource-allocation visualization to show how public funding can be distributed across urban districts. The project examines inequality, funding priorities, and spatial tradeoffs in public resource planning.
Built a social belonging simulation to model how individuals shift between groups such as friends, workplace, local community, religion, and other social categories. The project represents belonging as a dynamic system shaped by social connection, group identity, and movement between communities.
Developed a social-network simulation showing how echo chambers and polarization emerge from ideology, income, education, identity, preference scores, and connection strength. The project models how individual similarity and social links can produce clustered belief systems.
Built a public-goods simulation using a free-bus-ride scenario to model cooperators, defectors, and loners in a shared urban service system. The project explains collective-action problems in public transport funding through an interactive simulation.
Developed a social unrest simulation modeling transitions between government supporters, dissidents, and insurgents. The project examines how group behavior, social pressure, and changing conditions can influence conflict dynamics.
Built a misinformation-spread simulation to model how information travels through a network based on susceptibility, connection strength, and node behavior. The project shows how misinformation can be accepted, resisted, or transmitted across social systems.
Simulation prototypes
Agent-based models, synthetic cities, procedural environments, and experimental urban interfaces.
Prototyped a 3D synthetic city environment with buildings, lighting, vehicles, and animated urban movement. The project explores how interactive 3D environments can be used to represent city form, mobility, and urban activity.
Built a suite of cellular automata simulations covering city growth, segregation, taxi movement, commercial centers, and airport-style movement systems. The project uses agent-based rules to show how simple local decisions can generate larger urban and social patterns.
Built a green city generator that combines roads, buildings, houses, and green-space elements into a procedural urban environment. The project explores how sustainable city form and environmental design ideas can be represented visually.
Built 3D vehicle movement prototypes for cars, trucks, and transport simulation environments. The project created reusable visual assets and motion logic for mobility, traffic, and autonomous-vehicle scenario development.
Developed an image-based city analysis project to study how urban places are visually represented through scene categories and visual features. The project uses classification outputs, charts, and image galleries to compare the visual identity of different cities.
Developed a coffee shop location analysis to study amenity density, urban retail distribution, and state- level location patterns. The project connects retail geography with neighborhood character, accessibility, and real-estate context.
Developed a Los Angeles business-location visualization to study urban economic activity and spatial business distribution. The project represents businesses as part of a broader urban network shaped by location, clustering, and commercial concentration.
Experience
2020-Present
Founder · Planning & Development Advisory, Bengaluru
Founded and managed an urban planning and development advisory practice focused on planning approvals, zoning interpretation, real estate development workflows, site planning, feasibility, and project coordination across multiple cities.
2022–Present
Systematic Quantitative Research, Bengaluru
Built reusable research workflows covering signal design, data engineering, execution-aware testing, walk-forward validation, leakage audits, portfolio simulation, regime analysis, and post-trade failure diagnostics.
2019-2020
School of Public and International Affairs, Virginia Tech
Supported courses in transdisciplinary problem solving, environmental policy, and planning.
2018-2019
School of Public and International Affairs, Virginia Tech
Contributed to a renewable energy facility siting project through web development, mapping, and research support.
2019-2020
Community Change Collaborative, Virginia Tech
Managed publicity, advertising, and social channels for weekly meetings, forums, and annual events.
2019-2020
Urban Affairs and Planning Department, Virginia Tech
Represented UAP students in governance discussions and departmental engagement.
2016-2018
PB Estate, Rajasthan
Worked on land development projects across plan formulation, construction monitoring, 3D site animation, GIS analysis, and surveying.
Jun–Sep 2017
Ministry of Housing and Urban Affairs, Government of India
Contributed to the Abatement of Vehicular Pollution through Plants research project, evaluating urban greening strategies for mitigating vehicular pollution in New Delhi.
Jun–Sep 2016
Real Estate Development Council, Haryana
Conducted real estate market analysis for Gurugram and contributed the article "Planning an Integrated City", published in Realty India.
Apr–Sep 2015
PB Estate, Rajasthan
Supported optical surveying, GIS mapping, and spatial analysis for land development and planning projects.
Education
Master of Urban and Regional Planning, 2018-2020
Capstone: zoning ordinance strategies for craft breweries in Blacksburg, Virginia.
Bachelor in Planning, Gold Medalist, 2014-2018
School Education
Toolkit
Python, JavaScript, SQL, Pandas, NumPy, Jupyter Notebook, Flask, data pipelines, feature construction, statistical analysis, and experiment tracking.
GIS, GeoPandas, OSMnx, NetworkX, PostGIS, OpenStreetMap, GeoJSON, Leaflet, MapLibre, spatial indexing, network analysis, and accessibility modelling.
Three.js, D3.js, interactive dashboards, 3D geographic visualization, SUMO, routing systems, agent-based simulation, and scenario tools.
Signal design, event-driven backtesting, portfolio simulation, execution replay, walk-forward validation, leakage audits, state-space modelling, path-similarity testing, path-memory research prototypes.