Hi, I'm Prithvi — rising junior at NYU studying Economics. Investment analyst, AI builder, and aspiring investor. Currently building AI-powered prospecting and pipeline automation at Sequence Events, a full-service event production agency in New York, and building Spark — a school-integrated EdTech platform.
I am a rising junior 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.
Open to connecting — reach me at pm3943@nyu.edu or prithvimohap123@gmail.com.
Building AI-powered prospect scoring, pipeline automation, and personalized outreach systems at a full-service event production agency whose clients include Spotify, LinkedIn, BNP Paribas, Air France, Ramp, Lux Capital, Wharton, and LEGO. Supporting business development through lead enrichment, conference prospecting, and HubSpot CRM management.
Built an LLM-powered outreach pipeline tracking 800+ leads using Apollo, GPT, and Google Apps Script at a venture-backed startup. Supported business operations, client onboarding, prospecting, and AI product development.
Supported early go-to-market efforts through lead generation, outreach, and competitive research before moving into the forward deployed engineering role.
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.
Full-stack AI assistant built with FastAPI and deployed on Railway, with Supabase handling persistent memory across conversations. Routes requests across multiple LLM providers with Gemini as the primary model, and includes a rendered artifact viewer for generated code, documents, and visualizations.
F1 race replay and circuit poster generator built in Python using FastF1 telemetry data. Renders animated race replays and minimalist circuit art from real session data — pick a Grand Prix and watch it unfold, or export the circuit as a poster. Deployed on Netlify.
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.
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.
Always glad to meet founders, investors, and operators working on interesting problems — whether that's a conversation about markets, AI, or whatever you're building. My inbox is open.