Finding coursebook info for Princeton students is unnecessarily difficult. I built a web app that consolidates Princeton coursebook pricing from multiple sources, and offers third-party seller options, thus providing the most complete information on cheap textbooks. Built in Express.js, React, Redux, Python, and MongoDB.
We built a voice bot that users can call to order a Lyft ride. This is useful where Internet and/or cellular data is inaccesible (which can happen even in urban areas, from personal experience). We won the “Best use of Vonage/Nexmo API” prize. The following APIs were used: Nexmo for the voice bot, Amazon Lex/Lambda for voice processing and parsing, Google Maps API to sanitize locations, Lyft API for making Lyft calls. Press received:
1. Nexmo Blog
We have received the following press:
1. Scientific American
2. Princeton University
HackPrinceton is Princeton’s biannual student-run hackathon which hosts 1,100 students per year. As co-director From Fall 2017-Spring 2018, I led a team of 30 undergraduate organizers and combined budget of $150,000.
From Fall 2016-Spring 2017, I was an organizer and coordinated bus routes, workshops, prizes, and mentorship. Below is a sample of the press we have received:
1. Business Insider
2. Princeton School of Engineering
3. Princeton Entreneurship Council
I worked with Prof. Isaac Kohane and Dr. Arjun Manrai to develope a new association study called “claims-wide association study (CWAS)” - like genome-wide association studies (GWAS), but for insurance claims. I built a data visualization tool for plotting heatmaps of the USA from parsed AETNA insurance claims, at multiple levels of geographic specificity (zipcode, county, state, regional). Built in R, MySQL, and the Shiny web framework.