GPA: 3.8
● Develop a machine learning model to detect risky driving behavior from telematics data
● Create a visualization tool for statistical features from accelerometer signals
● Researched lane detection methods for autonomous vehicles
● Implemented image collection, processing and filtering pipeline for CARMERA swarm data
● Used deep learning and computer vision to detect current lane based on car camera feed
● Learned technical and leadership skills based on industry standards through an exclusive mentorship program
● Collaborated with a Google Project Advisor and peers to develop a chat app
● Created private/public group chat permissions, enabled in-chat text styling, and developed front-end UX design
● Direct the Experience team for the university's largest student-run event for +600 hackers
● Managed +$6000 in prize/swag money, fun events, and mentor/judge/workshop outreach
● Created first-time hacker webpage to boost participation from new students with no coding experience
● Led a group of 16 undergraduates on a inaugural 5-day exploration of SV
● Managed +$10,000 budget and initiated company outreach to get 10+ site visits
● Oversaw group dynamic, resulting in a 13% increase in trip satisfaction
● Updated new CMS for Eurofish website, an international fish trade company based in Copenhagen
● Wrote three feature articles, in addition to several smaller briefs, published in the August 2017 Eurofish Magazine