Hey, I’m Vidhi
I’m a rising senior at Emory, majoring in CS + Economics
I’m interested in all things tech, finance, and literature.
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Team Mutuals!
Scrapbooking when words were not enough
Snorkeling with sea turtles
Me in traditional attire for my sister's wedding!
Spraypainting in ATL
At the Grace Hopper Conference in Orlando
Celebrating New Year's 2024 with the smart and capable girls at the Save the Children Home in Calcutta
Hiking in the El Yunque Rainforest with friends during Spring Break
Writing letters to our future selves with the South Asian Women's Collective
I founded Black Polythene when I was 15 to fight against period poverty!
Songfest Watchparty on the Quad (Only at Emory :))
My beautiful parents in our home
My dog Shiro
My favorite bookstore in Atlanta
I've been playing tennis since I was 5!
Watching my favorite ballet with my friend Sophie
At an Arctic Monkeys Concert
My beautiful campus
My favorite CS meme
Wise words from my Algorithms Professor
A website I made for my Philosophy class
My favorite book by Dickens
My experiences
Currently
SWE Intern,
Millennium Management
Miami, FL🏖️
Previously
Launch Intern, Palantir
Machine Learning, HITI Lab
SWE Intern, SastaSundar
At Emory
President of ProgramHers &
South Asian Women’s Collective
Writer for Economics Review
Teaching Assistant for Macroecon, Systems Programming, Intro CS
Personal Projects
Mutuals
Once upon a time on our college campus, my friends and I realized something was missing—there wasn't an easy way to find people to do stuff with, whether its pickup basketball or late-night poker. That's when we created Mutuals. Just drop in what you love to do and when you're free, and every Thursday, our algorithm works its magic to connect you with a group that matches your vibe.
Big Apple Bunkdowns
This research project undertakes a comprehensive examination of Airbnb listings in New York City to establish a safety index by correlating them with NYPD crime statistics. Through data mining techniques, we identified patterns and correlations between crime rates and Airbnb locations. Using these results, accompanied with previous residents’ experiences, we provided a safety score to each Airbnb listing.
Mortgage Approval Predictive Modeling
This project investigates biases in U.S. mortgage lending using the Home Mortgage Disclosure Act (HMDA) dataset, with a focus on demographic disparities affecting mortgage approvals. Building machine learning models such as Random Forest and XGBoost, and utilizing the AI Fairness 360 toolkit, we analyze potential biases to mitigate those related to race, ethnicity, sex, and age.
Awards, Skills, & Courses
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Liberal Arts Scholarship (Emory)
Grace Hopper Scholarship (Emory CS department)
Dean’s List (Emory)
Omicron Delta Epsilon (Economics Honors Society)
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Java, Python, C, C++, SQL, PHP, Assembly, JS, TS, HTML/CSS, Firebase, MySQL, Next.js, Flask, JUnit, Git, Vercel, Bootstrap
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Machine Learning, AI, Data Mining, Databases, Systems Programming, Algorithms, Data Structures, Linear Algebra, Discrete Math, Econometrics, Intermediate Microeconomics + Macroeconomics, Financial Economics, Behavioral Economics and Finance, Probability and Stats