tal·roded

Data Science · Policy · NYC

Tal Roded

I use a background in economics, data science, and research to study and write about public policy. Currently a data scientist at LinkedIn, contributor to Block Party, MPA student at NYU Wagner, and appointed member of Manhattan Community Board 3. I run NYCuriosity, data-driven analysis of NYC transit, streets, housing, and how the city governs itself.

Tal Roded

NYCuriosity Studio · Hire me

Data-driven research & writing, on commission

Independent, rigorous analysis and writing for orgs that need the numbers to hold up: dashboards, reports, memos, and custom data work.

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What I'm building and where to find it

Newsletter

NYCuriosity

Data-driven analysis of NYC transit, streets, housing, and how the city governs itself. Published on Substack since April 2025.

Data Portal

NYCuriosity Data

Interactive charts, sortable tables, and source data for every NYCuriosity post. Hosted on GitHub Pages at data.nycuriosity.com.

Civic Reference

NYC Council Legislation Trackers

Two interactive trackers built from every Council fiscal impact statement and every enacted local law since 2014: what legislation costs, and what it makes city agencies do.

Civic Reference

CB Member Tracker

Leadership, rosters, and committee data for all 59 NYC community boards on a clickable district map, with the term-limit clock that forces the first citywide turnover wave in 2027.

Civic Tech

Block Party

Contributor to building Block Party's community board knowledge base, a search tool for CB resolutions and meeting transcripts across NYC community boards.

Civic

Manhattan Community Board 3

Appointed member covering the Lower East Side and East Village. Serve on the Parks Committee. My 36-slide field guide distills how to turn an advisory seat into real influence.

Civic Reference

State Capacity Ecosystem

A directory of 300+ organizations working to make American government more effective, plus an affinity network with natural-language search and a collaborator map connecting practitioners, researchers, and funders.

Code

GitHub / TalR24

Data science projects, analysis scripts, and the open-source code behind the NYCuriosity data portal and visualization work.

Selected writing

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Experience

2025 – present
LinkedIn
Data Scientist
2023 – present
MIT FutureTech
Affiliate Researcher
2025 – present
Manhattan CB3
Board Member
Current
NYU Wagner
MPA Student
2023 – 2025
Starbucks
Data Scientist
2022 – 2023
Accenture Research
Sr. Analyst, DS
2019 – 2022
Federal Reserve
Research Associate

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