Hi, I'm Prithvi — sophomore at NYU studying Economics. Investment analyst, AI builder, and aspiring investor. Currently interning at an early-stage AI startup in New York and building Spark — a school-integrated EdTech platform.
I am a sophomore at NYU studying Economics with a focus on finance and investment. I have passed the FINRA SIE exam, competed in multiple stock pitch competitions, and deployed production AI systems at a venture-backed startup.
My interest is at the intersection of capital allocation and emerging technology. I want to understand how businesses are built, valued, and improved — and I am building the analytical and operational foundation to do that at a high level.
Outside of work I am building Spark, researching equities and emerging companies, watching Formula 1, and following new startups across fintech and AI.
Currently seeking Summer 2026 internship opportunities in venture capital, private equity, investment banking, and finance-adjacent roles. Open to connecting — reach me at pm3943@nyu.edu or prithvimohap123@gmail.com.
Built automated email outreach pipelines, lead generation workflows, and AI-powered product demos at a venture-backed startup. Worked directly with enterprise clients to deploy AI-driven solutions, and developed competitive research frameworks to support go-to-market strategy.
Won the Mental Health Track at the NYU Stern Berkley Center Healthcare Hackathon. Building a school-integrated platform that redirects student screen time into personalized educational content. Zero-hardware MDM integration, B2B SaaS model targeting school districts.
Analyzed hotel acquisition targets and supported transaction execution at a real estate investment firm focused on hospitality assets. Summarized buy-sell agreements and term sheets, researched hotel markets, and evaluated market and industry dynamics across target geographies.
Conducted market research into the life sciences industry for an IT consulting and managed services firm. Supported sector analysis and research workflows for client-facing deliverables.
Collaborative equity research report on BYD Company Limited for NYU's Stern Investment Analysis Group. Full investment thesis with DCF model, price target of $72.94 (52% upside), industry analysis, and risk assessment. Co-authored with a 4-person team.
Equity research and valuation on Alphabet (GOOG) submitted for the Dodge & Cox case competition. Full fundamental analysis including DCF, revenue decomposition across Search, YouTube, Cloud, and Other Bets, EPS projections, and buy recommendation.
Equity research report on The Metals Company (TMC) created for the Perplexity Stock Pitch Competition. Full thesis, DCF, bull/bear case, catalyst timeline, and price target of $12.00 (156% upside). Deep-sea critical minerals play.
Built a machine learning pipeline from scratch to predict Formula 1 finishing positions using 70+ years of race data (1950-2024). Designed and queried a relational PostgreSQL database across five tables — races, drivers, results, qualifying, and constructors. Engineered features including qualifying position, constructor strength, driver experience, driver age, and track characteristics. Trained five linear regression models in Python, achieving a best MAE of 2.21 — predicting finishing positions within roughly 2 places. Entire stack built independently for a data science course.
School-integrated platform that redirects student social media usage to personalized educational content during school hours. Zero hardware — deploys through existing MDM infrastructure. Won 1st place at the NYU Stern Berkley Center Healthcare Hackathon (Mental Health Track), judged by venture capitalists including a partner from ERA, one of NYC's leading early-stage accelerators.
Building a Python and Streamlit-based trading terminal replicating core Bloomberg functionality at zero cost. Features include real-time market data and candlestick charts via Yahoo Finance, full options chains with put/call flow analysis, a macroeconomic dashboard pulling 816,000+ FRED series, news sentiment analysis using NLTK VADER, SEC EDGAR filing alerts, and a live portfolio tracker. Designed for multi-monitor setups with a Bloomberg-inspired dark theme.
Competing in NYU Stern Investment Analysis Group's annual stock pitch competition, judged by Harris Associates (Oakmark Funds). Preparing a long-only pitch on a U.S.-listed company with $1B+ market cap — 10+ slide deck with full valuation model.
Entering NYU's Strategic Venture Society pitch competition with a team. Focused on growth-stage company analysis and venture investment thesis development.
Participate in equity research competitions and investment thesis development. Collaborated on BYD research report with full DCF model. Competing in the annual stock pitch competition judged by Harris Associates (Oakmark Funds).
Attend speaker events focused on venture capital and growth-stage company analysis. Entering the SVS pitch competition with a team this semester.
Oversaw team efforts in maintaining the Battery Urban Farm in lower Manhattan. Created a plant database for high school and college students and a database of corporate donors for the urban farm.
I am actively looking for summer 2026 opportunities in venture capital, private equity, investment banking, and finance-adjacent roles. If you are a founder, investor, or operator — I would love to connect.