Three countries. Four sectors. A pricing index covering 80% of Jakarta's used-car market, built from 10,000 scraped records. Policy briefs that reached state governments in India, affecting 5M+ users. Financial models that fed a KPMG audit. Most analysts describe markets from the outside — I've built analytical infrastructure inside them.
Who I Am
I'm an Economics undergraduate at Boston University finishing in May 2026. Most of what I know about markets didn't come from a classroom. It came from scraping 10,000 used-car listings in Jakarta to build a pricing index from nothing. From writing policy briefs that reached government bodies in Andhra Pradesh and Telangana. From building a financial model for a startup — not as an exercise, but because the business needed to know whether it could survive.
The gap I've always been drawn to: between what economic theory says should happen and what the data shows is actually happening.
Closing that gap requires rigour, range, and the willingness to build the framework before you can analyse anything. Across every role — asset management in Delhi, economic research in Jakarta, policy advocacy for a real-money gaming platform, financial modelling for a scaling startup — the output was the same: structured analysis that moved a decision.
What I Bring
At every stop — Jakarta, New Delhi, Boston — the work required building something from scratch, not inheriting a process. Here is what I've built, and what I bring to a team.
Policy doesn't change because of good intentions — it changes because someone did the work to map the landscape and make the argument clearly. I've produced regulatory collaterals for state-level advocacy affecting 5M+ users, compared AI governance frameworks across three jurisdictions, and mapped ministerial stakeholders on gaming and AI policy. The findings went directly into company strategy.
The insight is only as good as the data underneath it. In Jakarta, I designed a pricing index covering ~80% of the used-car market by scraping and structuring 10,000+ listings across five major brands. In research, I've run fixed-effects regressions across 190+ countries and merged 300,000+ permit records with macroeconomic indicators. The method changes with the question. The standard doesn't.
At Cardekho, financial outputs fed directly into a KPMG-led audit — the standard that work had to meet. At Sift Capital, I analysed 10+ investment products to support portfolio allocation across Mutual Funds, PMS, AIFs, and IPOs. At Park Plus, I modelled 12 months of scaling costs — 7 to 23 employees, expenses from ~$560K to ~$3.1M/month — alongside TAM analysis across four business verticals.
Selected Work
Four projects applying econometric and quantitative methods to questions with real market and policy implications. Each started with a genuine question and required building the analytical framework to answer it.
Fixed-effects regression across 190+ countries (1990–2023) isolating the causal impact of education on health outcomes — controlling for income, infrastructure, and governance quality. The question was whether education improves health, or whether both are proxies for wealth. The method had to isolate the effect. It did.
Request work sample →Merged 300,000+ EU ETS permit records with macroeconomic indicators to model permit price dynamics under shifting climate policy. Built not to describe the market, but to help navigate it — outputs were designed to inform active trading strategy.
Request work sample →Compared governance structures and financial models across 90+ clubs in Saudi Arabia and India. The finding: state ownership and political economy shape competitive outcomes more directly than most club management frameworks acknowledge.
Request work sample →Assessed a $500M World Bank initiative in Uttar Pradesh against development economics research on rural enterprise and agricultural growth. The evaluation wasn't just about what the programme did — it was about what the evidence says actually works.
Request work sample →Beyond the Work
VP of the BU Cricket Club. Grew membership by 60, led the club back to national tournaments after a 2-year gap, and ran its most successful fundraising campaign in a decade. The sport taught me how to build something from almost nothing.
A sport I follow obsessively and have studied academically — from the Premier League to the Indian Super League. My political economy research on governance and financial models across 90+ clubs is the most fun I've had with a dataset.
Cinema is where I go to think differently. I tend toward political thrillers, slow burns, and strong character writing. The best films, like the best analysis, make you rethink something you thought you already understood.
Building practical AI workflows through The Crux bootcamp. I use Claude, ChatGPT, Perplexity, and NotebookLM as daily tools — not novelties. The question I keep returning to: what does this actually change about how economists work?
Get In Touch
Actively seeking Data Analyst, Research Analyst, and Economic Analyst roles in finance, consulting, tech, or policy — available May 2026. If your team needs someone who goes from messy data to defensible output without hand-holding, that's the work I've been doing.
Or reach me directly
Based in Boston, MA. Open to remote, hybrid, or in-person roles globally. Available from May 2026 — happy to discuss earlier for the right opportunity.