I recruit board members and advisors for Komal through networks built across the UN, U.S. Department of Commerce, and India's diplomatic corps. At the UN Mission, I bridged delegations, industry lobbies, and multilateral blocs to move 6 resolutions. At Commerce, I connected federal enforcement with AI-driven intelligence. Columbia & LSE trained. Now building Komal — connecting families to the care they need.
Co-Founder & CEO of Komal, connecting families to the care they need. For 6 years, I've built operating systems for high-stakes environments where trust, coalitions, and speed determine outcomes.
At India's UN Mission, I built a negotiation OS that compressed decision cycles from days to hours and moved 6 resolutions. At UN-OHRLLS, I built dashboards for 32 vulnerable countries and helped lobby ~$3M from advanced economies. At the U.S. Department of Commerce, I led an AI early warning system that improved trade enforcement efficiency by ~25%.
Columbia (MPA, STEM, Quant GPA 3.8) • LSE (MPA) • Advised by Prof. Arvind Panagariya (Chair, India Finance Commission) • Based in New York.
Systems, tools, and analytical frameworks built for high-stakes environments — from multilateral negotiation floors to federal trade enforcement.
Real-time coalition intelligence tracker that mapped draft paragraphs to stakeholder positions, trade-offs, and decision timelines.
Monitoring infrastructure for 32 of the world's most vulnerable countries, built from 50+ stakeholder interviews.
Federal AI framework for detecting trade circumvention and dumping risk using export anomaly detection and supply-demand gap analysis.
Suite of 6 geopolitical dashboards, automated briefing pipeline, and negotiation tracker for real-time intelligence.
Empirical analysis of gig-platform displacement effects on traditional employment structures.
SEM decomposing coworking adoption into five latent factors across 400+ users.
Cost-benefit assessment quantifying strategic concessions against projected GDP uplift.
Redesign framework for PMFBY proposing parametric triggers to reduce settlement delays by 60%.
Cross-state panel quantifying how colonial-era labour regulation constrains formal-sector firm scaling.
Mixed-methods evaluation of NREGA's dual impact on rural income security and democratic participation.
Econometric decomposition finding 140–260% export surges in intermediary countries post-duties.
Represented India in all AI governance discussions at the United Nations. Negotiated 6 multilateral resolutions (NAM, WSIS+20, ICZM, AgTech).
Built dashboards for 32 vulnerable countries at UN-OHRLLS. Reported directly to PM/President-level leadership.
Rank 5 nationally (98.8%). GRE: 334/340 (99th percentile). Dean's List, Christ University.
Columbia (MPA, STEM, Quant GPA 3.8) • LSE (MPA) • Christ University (Honours, GPA 3.84). Advised by Prof. Arvind Panagariya.
Top 6 out of 1,000+ entries nationwide. Meghnad Desai Academy of Economics.
SEM modelling gig & shared economy participation. 4.0/4.0. Best Speaker, Dept. of Economics.
Leads distribution and external relationships with institutional and group stakeholders. Owns outreach to interest groups, clinics, and ecosystem partners, runs pilots and workshops, and turns them into repeatable GTM motions. Handles ops around contracts, feedback loops, and expansion into new regions and channels.
Advised on economic and policy issues at the UN, helping shape India's positions in multilateral negotiations and high-level forums. Represented India in all AI governance discussions. Negotiated multilateral resolutions (NAM, WSIS+20, ICZM, AgTech). Developed AI-driven tools including a negotiation tracker, automated briefing system, and geopolitical dashboard.
Supported analytical and policy work for Least Developed Countries, Landlocked Developing Countries and Small Island Developing States. Authored a policy handbook for 32 LLDCs with 80+ indicators. Used R to estimate gravity models quantifying trade penalties from infrastructure gaps.
Applied quantitative and policy tools to address a live economic/commerce problem. Developed an AI-based Early Warning System for trade circumvention. Led firm-level and macro-level steel trade analysis using STATA and R.
Led econometric analysis for "Decoding State Growth." Built a state growth model and conducted OLS regressions to quantify drivers of GDPPC growth.
International Finance & Economic Policy; Data Analytics & Quantitative Analysis. Quant GPA: 3.8/4.0. Built advanced capability in macro-econometrics, international trade and finance, and quantitative methods.
Specialisation in Inequality & Poverty. Developed rigorous foundations in micro, macro, welfare analysis and political science to examine inequality and development.
First Class, GPA: 3.84/4.0. 10,000-word dissertation using Structural Equation Modelling, earning a Distinction (4.0/4.0).
“Saarthak brings a rare combination of rigorous quantitative skills and grounded policy judgment. His work at the UN mission consistently improved the quality of our briefs and negotiations.”
“In my course, Saarthak stood out for his ability to translate complex econometric concepts into actionable insights for real‑world policy problems.”
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