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Shreyans Gupta
Senior at Duke University studying Data Science
Based in Durham, North Carolina
About Me
raduating in May 2026 with a major in Statistical Science (Concentration in Data Science), a minor in Computer Science (AI/ML track), and a certificate in Innovation & Entrepreneurship. I enjoy making sense of messy data and innovating around it.
In my free time, I powerlift, meal prep, watch the NBA, and solving puzzles!
Open to New Grad Roles in Data and Quant!
Skills
Currently Learning
grew my edtech start-up to 25k students published a math book i can solve a rubik's cube < 15 seconds i represented India in a Math Olympiad
(ask me to show you)
Machine Learning Projects
tldr; regression and tree ensembles to predict popularity of a board game
The Board-Game-Popularity project conducts a comprehensive analysis to predict the popularity of board games based on factors such as ratings, complexity, and playtime. Using machine learning techniques like dimensionality reduction, feature engineering, and multi-regression models, it determines that difficult, fantasy-themed miniature games are statistically the most popular.
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tldr; created a novel metric that correctly predicts winners of the award
This project aims to demystify the system of deciding the NBA's clutch player of the year (player who performs well when it matters). It employs methodologies such as feature weights and regression analysis to create a holistic metric for evaluating clutch performance. Uses Shiny R to display the top clutch performers, allowing a user to search by year, specific box score preference, and minimum minutes played.
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Google Search Autocomplete and Visualizer
The AutoComplete project utilizes weighted prefixes and binary search to suggest relevant completions based on the user's search input. It efficiently processes user queries to provide accurate and fast autocomplete suggestions, enhancing user experience in text-based searches. It also updates the visualization in real-time with each letter.
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Shortest Path Finder on U.S Map
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