Open to opportunities

Yashvi Singh

@yashvisingh

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Economics policy researcher and editorial analyst translating data into decision-ready narratives for governments.

India

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What I'm looking for

I’m looking for a role where I can merge policy expertise with data visualization and quantitative research—writing executive-ready narratives, building decision support dashboards, and collaborating with stakeholders across government and international organisations.

I’m an M.A. Economics candidate (CGPA 9.05/10, DTU, June 2026) with a focus on energy transition, trade policy, and climate economics—bringing complex evidence into clear decisions.

As a Policy & Research Trainee at Team Counsel, I co-built a Policy Bureau to produce original research and policy commentary for emerging company clients. I authored and edited long- and short-form publications, coached analysts on clear, accessible policy writing, and shaped editorial voice and publishing cadence.

At the DGFT (Ministry of Commerce & Industry), I benchmarked export remission incentives across 5 economies and authored policy reports identifying 3 high-ROI regulatory gaps for SME trade competitiveness. I also built WTO-TFA-aligned regulatory risk frameworks with scenario analysis narratives for senior ministry stakeholders, and created Power BI dashboards tracking scheme performance over time, improving oversight efficiency ~30%.

Across research and policy settings, I’ve led econometric modelling across 20+ economies, translated cross-country fiscal risk and poverty-health linkage data into narrative-driven outputs for non-specialist decision-makers, and analysed Rs. 20,000+ crore public investment portfolios using cost-benefit frameworks and executive briefings. I work confidently with Power BI, Tableau, Excel (Advanced), and quantitative tools like STATA, R, Python, and SQL—supported by an active interest in AI-assisted research production and editorial workflow tools.

Experience

Work history, roles, and key accomplishments

Current

Policy & Research Trainee

Current

Team Counsel

Apr 2026 - Present (2 months)

Co-built Team Counsel’s Policy Bureau thought-leadership arm by developing original research and policy commentary for emerging company clients. Authored and edited practitioner-facing publications and coached founders on clear, accessible policy writing to set editorial voice and publishing cadence.

Policy Research Policy Writing Editorial Leadership Thought Leadership Regulatory Analysis

UN Volunteer (Pathfinder)

UNDP Switzerland

Aug 2025 - Nov 2025 (3 months)

Co-authored executive briefing notes using macroeconomic panel data across 15+ countries for SDG-aligned strategy at senior UN level. Translated cross-country fiscal risk and poverty-health linkage data into narrative-driven policy outputs for non-specialist decision-makers.

SDG Strategy Support Macroeconomic Analysis Panel Data

Global Trade & Econ Research Intern

University of Delhi

Feb 2025 - Oct 2025 (8 months)

Led econometric modelling across 20+ economies and produced Tableau-visualised resilience reports on sectoral vulnerability to global shocks. Developed chart-based scenario analyses to translate complex datasets into policy-grade narratives for academic and institutional audiences.

Econometrics Panel Data Analysis Tableau Data Analysis

Economic Policy Analysis Intern

DGFT, Ministry of Commerce

Jun 2025 - Aug 2025 (2 months)

Benchmarked export remission incentives across 5 economies and authored policy reports identifying 3 high-ROI regulatory gaps for SME trade competitiveness. Developed WTO-TFA-aligned regulatory risk frameworks and built Power BI dashboards tracking scheme performance over time, improving policy oversight efficiency by ~30%.

Policy Analysis Trade Policy WTO TFA Frameworks Power BI Data Storytelling Export Incentives Benchmarking

Project Appraisal & Management Intern

NITI Aayog

Jun 2023 - Aug 2023 (2 months)

Analysed a Rs. 20,000+ crore public investment portfolio and built cost-benefit frameworks and executive briefings across 4 ministries. Improved quantitative data consistency by ~25% through rigorous validation and multi-source triangulation.

Cost Benefit Analysis