Tech lead in Uber Eats Marketplace Prediction Using machine learning and statistical modeling to empower the Uber Eats 3-sided marketplace. Some highlighted areas I am focusing on include dispatch efficiency and reliability, eater/delivery-partner/restaurant timeliness experience, delivery-partner time-based pricing.
The FAA Consortium in Aviation Operations Research (NEXTOR II)Research Projects:Using Tactical Air Traffic Management to Improve Schedule Reliability (funded by NASA)Evaluation of Predictability as a Performance Measure (funded by FAA)Behavioral Analysis of Flight Rerouting (funded by NASA)Distributed Mechanisms for Determining NAS-wide Service Level Expectations (funded by FAA)
Fall 2016 Taught CE 93 Engineering Data Analysis with Professor Mark Hansen (Lower Division);Fall 2016 Taught CE 252 Systems Analysis in Transportation with Professor Mark Hansen (Graduate level);Fall 2016 Taught CE 262 Analysis of Transportation Data with Professor Joan Walker (Graduate level);Fall 2015 Taught CE 252 Systems Analysis in Transportation with Professor Michael Ball (Graduate level);Fall 2014 Taught CE 252 Systems Analysis in Transportation with Professor Mark Hansen (Graduate level).
August 2013 - December 2016 (3 Years and 5 Months)
1. Developed a simulation tool (including an R package) that automates an evaluation task at Apple Maps with the potential for tens of thousands annual monetary savings and significant labor savings;2. Intern project selected to present to one of the Senior Vice Presidents at Apple.