As an investment banking analyst at Fireclay Partners, I wrote ten-page industry and company analyses across the Industrials and TMT sectors and pitched more than ten investment opportunities drawn from that research. I also coordinated diligence and managed stakeholder communication across live M&A and private equity transactions. On two of those deals, I applied discounted cash flow, comparable company, and precedent transaction analyses while collaborating with the broader deal teams.

At SupplyBistro, I built the core financial models, key performance indicators, and unit economics, and I co-built the nineteen-slide pitch deck that supported the company’s seed-round conversations with investors. To fill the top of that funnel, I scraped Crunchbase, PitchBook, and LinkedIn to assemble a pipeline of more than 400 venture capital and angel investors, more than ten of whom converted into introductory and diligence calls. I also built and deployed API-driven automation across the company’s operations, reducing processing and review work that previously took several hours to under thirty minutes.

As a research intern in the SDSU Research Foundation’s WIRLab, I conducted buoyancy, physical, and chemical analyses of weathered marine debris.

I joined the Cornell Undergraduate Asia Business Society as one of seven new members admitted from more than a hundred applicants, and I completed its competitive ten-week business education program. The program covered eight industries and included training in three-statement modeling, valuation, and research on Bloomberg and Refinitiv. As an analyst, I pitched a Dassault Systèmes–Cadence M&A deal and a long thesis on On Holding (ONON), building the models, comparables, and valuation for each. I also serve as the society’s social chair.

I am a member of the operations team for Cornell DEBUT, a biomedical device project team. I manage the team’s $25,000 operating budget and raised more than $2,500 on Cornell Giving Day to fund team operations and project work. I hosted a research conference that showcased more than ten biomedical device projects, spanning prototyping through go-to-market strategy, and I support the team’s social media operations, which have grown its account to more than 1,000 followers and widened student engagement on campus.

I am an associate consultant with Social Business Consulting. For ElevenLabs’ Impact Program × Professors, I built an AI-native workflow and go-to-market strategy that has since launched publicly. For the Red Cross, I surveyed more than a hundred students and benchmarked more than ten competitors, then translated the findings into four Figma prototypes. As recruitment chair, I have screened more than 300 applicants across two semesters and run campus events that drew more than 1,000 attendees.

I built a systematic equity strategy in Python that screens SEC Form 4 insider filings and manages positions with Kelly sizing, bracketed risk, and exits triggered when the signal weakens. In backtesting, the strategy returned 23.6% annualized against 14.5% for SPY, with a Sharpe ratio of 1.15 and a maximum drawdown of 10.9% compared with 32.2% for SPY over the same period. I then deployed it live for three months, during which it returned 12.3% against a 1.8% loss for SPY across fifteen trades, with a 67% hit rate, a 2.2× win-to-loss ratio, and a 3.9% drawdown.

I built a market-making pipeline in Python that screens more than 11,000 prediction markets and uses hazard-rate entry models, checked against holdout tests, to decide when to provide liquidity. Backtesting across more than 2,700 market-hours showed that fill probability decays 145× after entry, so I validated the entry gates with placebo and Poisson tests before trading. A one-month live test earned approximately $25 per day on approximately $250 deployed, net of measured adverse selection and capped by order-book depth.