Princeton University ’28
I study Economics at Princeton and build equity research tools. Outside that I play competitive tennis, sing bass, and follow the memory chip space closely.
I study Economics at Princeton with a 3.83 GPA, with minors in Finance/Entrepreneurship and South Asian Studies. Outside class I intern at Evyavan Advisory Services, a wealth management firm, where I built the equity research tools described below.
Outside of class I love playing tennis, singing Charlie Puth and Bollywood songs, drumming, and working out.
I have played competitive tennis for over thirteen years. At Princeton I serve as VP of the Club Tennis team, which finished 6th nationally at Club Tennis Nationals this past year and reached the Ivies final. Before Princeton I captained my high school club team and co-founded QuickStart Tennis to introduce the sport to underserved kids.
I got into singing young and ended up being selected for the All-National Honor Choir as a Bass 1, which put me in the top 20 bass voices in the country. As VP of my high school choir we performed constantly: hospitals, fundraisers, community events. It stopped feeling like an activity and became something I just did.
Drums came later. I played at my high school graduation in front of a few thousand people, which was a little terrifying and a lot of fun. I also put out a 5-track original album that I arranged, recorded, and mixed entirely on my own. Making something from nothing, with no rubric and no deadline, is one of my favorite things to do.
Built through Evyavan Advisory Services. Not prototypes these are tools I use week to week to run portfolios and track positions.
Takes a ticker, pulls live financial data, and outputs a structured research report with comps, key metrics, and analyst write-up.
Models two investment strategies side by side and surfaces the performance delta with historical back-testing.
Pulls news for a watchlist, applies sentiment scoring, and flags events that could affect an existing thesis.
Live P&L, sector drift, and performance attribution across all positions. No spreadsheet overhead.
Screen by revenue growth, margins, ROIC, and valuation with custom thresholds. Clean export-ready output.
Tracks upcoming earnings with Google Calendar and email integration. Live prices alongside each date.
A wealth management firm where I intern. I built these tools during my time there to streamline equity research and portfolio management workflows.
Sector coverage of Micron, SanDisk, Seagate, and Western Digital. Company snapshots, side-by-side trading comps, competitive positioning chart, and investor takeaways written to institutional report standards.
Report Preview
15-page transition framework moving a client from passive DFA funds into actively selected large-cap equities. SWOT analysis, cost-of-underperformance modeling, individual stock analysis across 13 names, and a 3-phase implementation plan.
AI-based clustering of 1,007 paintings from Princeton's Ethiopian Miracles of Mary Manuscript collection. My role was converting raw metadata into structured natural language captions for vision-language model encoding. The project built an interactive 3D explorer across four model iterations.
Sample Manuscript Paintings from the Dataset
Model Clustering Results
Analyzed 63 Princeton University spinouts across biotech, climate, AI, and hardware sectors to model venture returns for Deep Tech Ventures. If DTV had invested $500K at 10% equity in 3 spinouts per year from 2015‑2025, conservative modeling yields a ~6‑7x blended MOIC on $15M deployed. Biotech, AI/compute, and climate emerged as the strongest sectors; consumer hardware and crypto showed structural limitations in the Princeton ecosystem.
Live Demo
Portfolio Returns Model
OTL Spinouts Engagement Tracker
Coverage of vertical software and growth equity. Diligence across 50+ portfolio companies, investment memos, and sector theses with senior partners.
Market research and client-ready reports at a YC-backed expert network. Contributed to go-to-market strategy and product positioning.
Early-stage venture analysis across consumer and B2B tech. Financial models, founder interviews, IC materials.
Product research and competitive analysis at an AI trust and verification startup. Go-to-market positioning for early customers.
Happy to talk about equity research, memory chips, early-stage investing, the tools I am building, or tennis.