Hi, I'm Varun Naik
Strategy Consulting • Investment Banking • Data Science
Math-CS & Economics student at UC San Diego with experience in consulting, investment banking, and full-stack development.
Strategy Consulting • Investment Banking • Data Science
Math-CS & Economics student at UC San Diego with experience in consulting, investment banking, and full-stack development.
I'm a senior at UC San Diego pursuing dual degrees in Mathematics-Computer Science and Economics with a minor in Finance. I'm passionate about solving complex problems at the intersection of technology, finance, and data.
My experience spans consulting at Boston Consulting Group, where I worked with stakeholders on operational improvements and built Power BI dashboards for real-time analytics; growth equity analysis at University Growth Fund, leading due diligence for startups; and investment banking at Nomura Holdings.
I co-founded Triton Quantitative Trading, UCSD's first quantitative finance club, where we partner with firms like Jane Street and train students in algorithmic trading and risk management. I also serve as an Undergraduate Teaching Assistant for the Economics Department.
My technical interests include machine learning, quantitative finance, full-stack development, and building data-driven solutions that create meaningful impact.
Bachelor of Science in Mathematics - Computer Science
Sept. 2022 – Jun. 2026 | GPA: 3.5/4.0
Bachelor of Arts in Economics, Minor in Finance
Sept. 2022 – Jun. 2026 | GPA: 3.5/4.0
Mumbai, India
Jul. 2025 – Aug. 2025
San Diego, CA
Jan. 2024 – Dec. 2024
Mumbai, India
Jun. 2023 – Sept. 2023
Jul. 2023 – Present
Co-founded UCSD's first quantitative finance club. Partnered with Jane Street, led AI-driven trading projects, and created a university-backed course to train 200+ students in algorithmic trading and risk management.
Jan. 2025 – Jun. 2025
Assisted in delivering coursework for intermediate economics classes. Held office hours, clarified concepts for 100+ students, graded assignments, and provided feedback to improve analytical and problem-solving skills.
AI-Powered Credit Card Optimizer
Built an AI-powered platform to maximize credit card rewards with intelligent card selection, travel goal planning, and points redemption strategies. Features portfolio tracking, spending advisor, and Claude-powered chat assistant.
View on GitHub →Race Strategy Simulation Engine
Developed a sophisticated F1 pit stop strategy optimizer using Dynamic Programming, Monte Carlo simulation, and Q-Learning. Models realistic tire degradation, fuel consumption, and safety car probabilities.
View on GitHub →University Growth Fund
Evaluated underwriting data and built financial models for a $55M Series E-2 funding round, contributing to valuation analysis that resulted in a $533M company valuation.
Machine Learning Project
Investigated correlation between social media sentiment and Bitcoin price movements using NLP and ML regression models. Analyzed Twitter data and historical Bitcoin prices to test market efficiency hypotheses.
View on GitHub →I'm always open to discussing new opportunities, collaborations, or interesting projects. Feel free to reach out!
Outside of work, you'll usually find me passionately supporting Real Madrid on the pitch and Ferrari on the F1 grid 🏎️⚽