Dhru Patel

BS in Computer Science with a minor in Finance — solving real-world problems through software development and data-driven analysis.

Numbers first, then the story they tell.

I sit between engineering and markets: cleaning messy datasets, building the models and maps that read them, and writing the analysis that says what to do next.

• Product management
• Stakeholder communication
• Storytelling with data
• Financial modeling
• Valuation & markets
• Analytics & SQL

Building GradVest

A personal investing workspace — daily market briefing, stock research with cited AI explanations, micro-investing, a day-trading desk and a paper-trading simulator in one app.

New investors get headlines, charts and brokerage screens in separate places, and no explanation of which of it matters to what they actually hold — so the first trade is usually a guess.

One workspace: market and news APIs feed a daily briefing, research pages answer "why did this move" with cited sources, and a simulator lets the same decision be rehearsed with virtual money first.

First release scope is the briefing, watchlist, research pages and paper trading. Historical replay, ML signals and brokerage connections follow once the data and trade math are reliable.

Students and first-time investors putting in $5 at a time — people who need the reasoning behind a position more than another set of charts.

Delayed quotes are labelled as delayed, AI answers cite what they drew on and separate fact from interpretation, and no real order moves without explicit confirmation.