I am Aseem Deodhar. I work as a Research Analyst with the Metropolitan Area Planning Council - MAPC.
I recently completed my Master of Science in Urban Informatics from Northeastern University under Dr. Dan O’Brien. I feel very honored to have been awarded the Graduate Student Leadership Award upon graduating.
I am experienced in, and passionate about civic technology and its applications in transportation, urban & regional planning, and policy development. Here, you can see these interests combine and display themselves through academic, professional, as well as personal projects. I am always looking for advice on, and to collaborate with others on my personal research projects.
I built this website using the {blogdown}
package with Rmarkdown.
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MS in Urban Informatics - Urban Innovators Scholarship, 2020
Northeastern University
Bachelor of Architecture, 2016
The University of Pune
Filter through to see a selection of my academic, professional and personal research work.
Assist analysts and researchers in the MAPC’s Data Services department by writing R-scripts to develop insights for various urban and regional planning issues in Metro Boston.
Contribute to the development of two long term regional plans for Metropolitan Boston - MetroFuture, and MetroCommon.
Using ArcGIS, R, AutoCAD & Sketchup developed a ‘Covid-19 Safety Index’ for sidewalks in the City of Boston, to develop insights on sidewalk carrying capacity across Boston neighborhoods. Created an entire ‘Data to Design’ product by creating urban design solutions based on the Safety Index for 4 distinct urban morphological typologies within the City of Boston.
Developed an index to identify vulnerable communities in Massachusetts sharply affected by unemployment and health disadvantages due to the coronavirus (covid-19) crisis
(keywords: index creation, spatial analysis, time series, product management)
Using R and Adobe Illustrator, created visualizations of insights on pedestrian and bicycle crash data sourced from the MassDOT IMPACT crash portal to present to the Massachusetts Bicycle and Pedestrian Advisory Board.
Assist analysts in the OPMI (Office of Performance Management and Innovation) by writing R-scripts to contribute transit data insights to the MassDOT Tracker performance report.
Developing a SQL integrated R-script to compare transit trips with equivalent single-occupancy car trips measuring CO2 emissions, time taken, and miles traveled. Sourced data from transit planning and revenue department databases.
Using R and graphic layout software, created visualizations of insights on pedestrian and bicycle crash data sourced from the MassDOT IMPACT crash portal to present to the Massachusetts Bicycle and Pedestrian Advisory Board
(keywords: data visualization, script integration, time series, proximity analysis)
Analyzed origin-destination data from the Transit App and vehicle position data from MBTA GTFS feeds, to predict route and mode preferences of commuters across the network.
Identify existing and develop new transit corridors between essential workers’ homes and work location for swift, isolated movement during pandemics. developed in the wake of the current Covid-19 crisis
(keywords: database management, proprietary API handling, movement analysis)