tal·roded

Resume

Tal Roded

Data scientist and economic researcher. Six years turning large datasets into decisions at the Federal Reserve, Accenture, Starbucks, and LinkedIn, alongside NYC civic work.

Data ScientistJun 2025 – present
LinkedIn · New York, NY
  • Designs KPI frameworks and experiment plans for product adoption initiatives across go-to-market teams
  • Authors data schemas, data dictionaries, and use-case documentation used by dozens of sales and marketing teams
  • Developed AI governance standards for model fairness, interpretability, and responsible use, adopted organization-wide
  • Built analytics models and Tableau dashboards; ran user workshops and onboarding to drive adoption
  • Mentors junior analysts and interns on independent analytics projects
Data ScientistJan 2024 – Jun 2025
Starbucks · New York, NY
  • Built an end-to-end product demand forecasting system with an estimated $285M+ in net incremental revenue
  • Drove $130M+ in net incremental revenue through causal-inference pricing experiments in Python and SQL
  • Led ML-driven price elasticity modeling across all products, cutting analysis time by 70%
  • Built data documentation and quality frameworks spanning 74 international licensee markets
Senior Data Science AnalystNov 2022 – Jan 2024
Accenture Research · New York, NY
  • Led an econometric model forecasting generative AI's productivity impact by occupation, industry, and geography; the accompanying PowerBI tool reached 10,000+ consultants and client teams
  • Applied NLP and sentiment analysis to job postings, patents, and earnings calls; contributed to World Economic Forum publications
  • Cut monthly reporting time 95% by standardizing pipelines in SQL (BigQuery) and Python
Research Associate (from Senior Research Assistant)Aug 2019 – Nov 2022
Federal Reserve Bank of Philadelphia
  • Econometric analysis in R and SQL on datasets with millions of observations; automated charts for monthly monetary policy briefings to the Bank president
  • Contributed to published research on WWII-era unemployment, COVID reopening risk, and New Jersey's housing market
Member, Parks CommitteeMay 2025 – present
Manhattan Community Board 3 · NYC Government
  • Appointed representative for the Lower East Side and East Village; drafts and negotiates board resolutions
  • Coordinates with NYC DOT, Parks, and DSNY on street redesigns, public space, and capital budget priorities
Founder & Author, NYCuriosityMar 2025 – present
nycuriosity.com · data.nycuriosity.com
  • 60+ articles of data-driven analysis of NYC transit, streets, housing, and how the city governs itself
  • Builds open interactive civic tools: NYC Council Fiscal Impacts Tracker, NYC Government Bodies Explorer, State Capacity Ecosystem directory
  • Outside bylines at Streetsblog NYC, Vital City, and Reboot Democracy
Contributor, Block Party2026 – present
blockparty.studio
  • Built the community board resolutions knowledge base making 20+ years of CB records searchable citywide
Affiliate ResearcherOct 2023 – present
MIT FutureTech
  • Published analyses benchmarking generative AI's projected economic impact against prior technology cycles
MPA, New York University (Wagner)expected 2028
Part-time, focused on policy analysis
B.S. Joint Mathematics-Economics, UC San Diego2019
Provost's Honors; co-authored research on WWII-era unemployment dynamics
Python R SQL Stata Tableau / PowerBI Databricks Causal inference Demand forecasting Econometrics NLP Program evaluation Data governance

Publications and working papers are on the Publications page. For a PDF copy of this resume, email me.