-- Technical Responsibilities •Served as principal data scientist and coder on over 20 projects in data analysis, data engineering, predictive modeling, data visualization, optimization, tool development, web scraping, computer vision and natural language processing. •Ensured technical quality on project outputs across DataKind’s programs and projects.•Provided maintenance support for project partners with tools built by DK even after official projects close. •Managed cloud deployments on AWS, regularly harnessing Ec2s, S3 storage, RDS databases and some Elastic Beanstalk. •Supported in-house tech efforts including automated Slack commands for Google Drive, volunteer application data processing and general insight analysis.-- Project Scoping•Scoped with over 75 organizations across a range of domains to identify specific data science opportunities, needs and potential impact. Scoping included interviews, data exploration, prototyping solutions and generating project briefs. •Reviewed state of practice for specific technical challenges, developed initial methodology and prototypes and provided teams with starter code and plans to support project success.-- Technical Project Management / Team leadership •Led or co-managed over 20 volunteer teams (4-7 members) on our long term DataCorps projects.•Reviewed volunteer applications, interviewed and selected volunteers for projects.•Onboarded teams to project goals, methodologies, data availability, risks and challenges.•Supervised two DataKind data science staff/contractors on technical and non-technical aspects of our work, project output, and partner communications for the past year. •Translated highly technical information to semi or non-technical partners on a regular basis•Managed or co-managed relationship with partners throughout project life cycle. •Liaised with communications and business development teams to highlight our work and support future efforts.

• Assisted senior economists and planners in all aspects of traffic and revenue estimation for major urban toll road projects• Conducted research to identify reasonable simplifying assumptions for route choice, travel time impacts, value of time and other concepts integral to traffic and revenue analyses* Created route choice models and prediction dashboards in Excel• Liaised with representatives of regional and municipal agencies to obtain data and the necessary documentation to interpret and process said data• Created maps, figures, charts and documentation for client reports• Wrote scripts to scrape congested travel time data for 162 different routes from web based map services• Automated GIS tasks in ArcMap using python• Wrote python scripts to convert text (Millions of rows) formatted by proprietary software into format usable by analysts (PostgreSQL, MS Access)

• Conducted qualitative and quantitative research related to transportation modeling and uncertainty• Developed relationships with city and regional agencies to support development of models• Researched, acquired and analyzed wide variety of data including: ACS, CTPP, InfoUSA, network, land use, parcel, traffic, and transit• Updated, verified and calibrated large scale Cube Voyager four-step transportation model• Assisted students with Cube and TransCAD as Teacher's Assistant for 1.254 Transportation Modeling Course (Spring 2014)• Processed raw Travel Survey and developed discrete choice models for mode choice in PostgreSQL, Python and Biogeme• Hired, trained and supervised temporary undergraduate interns on data entry and processing for various projects

• Assisted Research Analysts, Planners and Modelers to set criteria and assumptions for Cube Land model• Assembled demographic and economic data from various sources for Transportation Analysis Zones in Excel and MS Access• Collected and analyzed land use and zoning data to assess existing development and future development potential • Edited, geocoded, created and verified other spatial data as needed in ArcMap

• Collaborated with small team reviewing updates to the NYC city wide planimetrics for NYC DoITT• Reviewed vast amounts of data from vendor in ArcMap/ArcSDE to ensure accuracy with aerial photogrammetry• Assisted in development and clarification of planimetric “Capture Rules”• Created work-flow documentation to ensure consistent interpretation across analysts

• Managed correspondence for Council Member between constituents and government agencies• Attended City Council hearings and prepared memos for Council Member• Collected data and prepared reports on land-use issues in Manhattan’s District 6 • Assisted constituents in accessing information and resolving problems