Pratham Gandhi


Hi! I'm Pratham Gandhi, a high school student from New York City interested in computer science. Scroll through this page to learn more about me!

View My GitHub Profile




I have progressed through both level 1 and 2 Computer Science at my school, Horace Mann School, as well as Advanced Placement Computer Science A, where I was the first 10th grade or below student approved for enrollment, and earned an 'A+' in the course and a 5/5 on the AP exam. Additionally, I am have completed the class CS 2110 Object Oriented Programming with Data Structures at Cornell University, having earned a grade of 'A-', while being concurrently enrolled in ECON 1110 Introduction to Microeconomics, in which I earned an 'A-'. Though I have learned java mostly through school, I know multiple other languages/frameworks, which are mostly self-taught, including Python, C++, Swift, react.js, node.js, and ionic. I have taken formal math courses up till the Precalculus AB level in school, and am learning Statistics (AP cirriculum) and Linear Algebra outside. I was on the F.I.R.S.T. Tech Challenge robotics team at my school, and am now a team leader on our F.I.R.S.T. Robotics Competition team, the 5806 Basement Lions, which provided me with experience building and programming large robots. My other hardware skills include various projects involving Arduinos and Raspberry Pis. I am particularly interested machine learning, specifically its applications in education and economics. Additionally, I've conducted a basic research study, and built an accompanying library to demonstrate all the concepts, in optimizing 3D environment generation from a 2D image using feature detection, and you can see that Github organization here.


Below is a selected list of a few of the projects I have worked on:

  1. Weblearn.js

    Weblearn.js is a javascript library which allows web developers to perform advanced mathematical tasks and rudimentary machine learning in the browser.

    Click here to view the project’s documentation website

    Click here to view the GitHub repository

  2. Newsreel

    A 21st century news aggregator which uses natural language processing to consider bias and general opinion in order to provide users with a holistic overview on current events and news. This project won 1st place at HackTrin 2018.

    Click here to view the live deploy of the web app

    Click here to view the GitHub repository

  3. SuperScout

    A multi-platform mobile app built for F.I.R.S.T Tech Challenge teams that optimizes and digitizes the scouting process. Allows any team member with a mobile smart phone to log teams and match results, as well as specific statistics about match play and pushes it to centralized and secure database, accessible to only members of that team.

    Click here to view the app’s download page on Google Play Store

    Click here to view the GitHub repository