Hi, I'm Vihaan Narvekar

Finance & Quantitative Economics | NYU Stern

Experience

LSE Data Science Society

Events Manager | 2024-2025

Worked on data analysis for speakers and managed interorganizational events. Helped develop a workflow for workshops to ease setup and processing time by 10%.

Cisco

Intern | Summer 2023

Collaborated with technical managers to develop a capstone project that utilized climate-based full-stack observability for day-to-day transactions and app database needs, increasing sustainability in financial services.

Projects

Sports Betting Arbitrage

Typically odds across different sports betting sites differ slightly. Individuals can take advantage of them by hedging all positions in a sports event on two different platforms with distinct odds in such a way as to make a profit.

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Black Scholes Option Pricing Visualizer

Given inputs, the program calculates call/put option prices using the Black Scholes pricing model. There are also heatmaps for volatility in relation to price as well as graphics for all greeks.

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Geospatial Positioning with Landmark Recognition

Our project uses a database of famous landmarks and their surroundings. It uses an algorithm rooted in algebra and trigonometry in order to determine the relative position of the camera in relation to the landmark.

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F1 Prediction Analysis

The F1 Race Predictor is a machine learning-based tool designed to predict race outcomes based on historical data, qualifying results, and weather conditions.

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Get In Touch

Feel free to reach out for collaboration or just to say hi!

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