Senior Data Scientist at Uber

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.


About us

  We believe that by solving some of the biggest problems of our time, we can create a future where there is limitless freedom of movement for people and things all across the world. Just talk to our people — and feel their passion, optimism and curiosity for building solutions every single day on behalf of drivers, riders, couriers, eaters and employees.

While the tough problems we face everyday can be incredibly difficult to figure out, we believe those same problems enable us to personally grow the most. So we welcome people from all backgrounds who have the passion to change the world and also want to help create a supportive and collaborative environment. So that ultimately, we can learn together, solve together, build together, and move the world forward together.


      Uber
  

Uber Eats Marketplace Prediction/Dispatch


Uber Eats PredictionMachine learning for food preparation time prediction, delivery time prediction, and waypoint time prediction.


Social Science Data Laboratory (D-Lab)Provided consulting services on research design, data analysis, and statistical modeling to Berkeley faculty, undergraduates, and graduate students.


A wellspring of innovation, the school occupies a 1,232-acre campus near downtown Berkeley. UC Berkeley, also known as Cal, was established in 1868 as the flagship of today’s 10-campus University of California.

University of California, Berkeley

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)
    
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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).
    
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Department of Statistics, University of California, BerkeleyGuided 6 graduate/undergraduate projects involving hypothesis testing, panel data modeling, and R coding


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.


We’re a diverse collection of thinkers and doers, continually reimagining what’s possible to help us all do what we love in new ways. The people who work here have reinvented entire industries with the Mac, iPhone, iPad, and Apple Watch, as well as with services, including iTunes, the App Store, Apple Music, and Apple Pay. And the same innovation that goes into our products also applies to our practices — strengthening our commitment to leave the world better than we found it.

Every new product we invent, service we create, or store we open is the result of people working together to make each other’s ideas stronger. That happens here because every one of us strives toward a common goal — creating the best customer experiences. So bring your passion, courage, and original thinking and get ready to share it. This is where your work can make a difference in people’s lives. Including your own.

Discover even more benefits of doing what you love. 

Apple’s most important resource, our soul, is our people. Apple benefits help further the well-being of our employees and their families in meaningful ways. No matter where you work at Apple, you can take advantage of our health and wellness resources and time-away programs. We’re proud to provide stock grants to employees at all levels of the company, and we also give employees the option to buy Apple stock at a discount – both offer everyone at Apple the chance to share in the company’s success. You’ll discover many more benefits of working at Apple, such as programs that match your charitable contributions, reimburse you for continuing your education, and give you special employee pricing on Apple products.

Note: Apple benefits programs vary by country and are subject to eligibility requirements.

Apple is an equal opportunity employer that is committed to inclusion and diversity. Visit jobs.apple.com to learn more.


      Apple
  

CE361 Introduction to Transportation Engineering with Professor Jon D. Fricker (Upper Division)


Purdue University is a vast laboratory for discovery. The university is known not only for science, technology, engineering, and math programs, but also for our imagination, ingenuity, and innovation. It’s a place where those who seek an education come to make their ideas real — especially when those transformative discoveries lead to scientific, technological, social, or humanitarian impact.

Founded in 1869 in West Lafayette, Indiana, the university proudly serves its state as well as the nation and the world. Academically, Purdue’s role as a major research institution is supported by top-ranking disciplines in pharmacy, business, engineering, and agriculture. More than 39,000 students are enrolled here. All 50 states and 130 countries are represented. Add about 950 student organizations and Big Ten Boilermaker athletics, and you get a college atmosphere that’s without rival.

Purdue University

Dissertation: Changing Fuel Loading Behavior to Improve Airline Fuel EfficiencyAdvisor: Mark HansenMinor 1: EconomicsMinor 2: Statistics


Thesis: Risk-taking Behavior Modeling and Analysis of Bicycle Helmet Compensation EffectsAdvisor: Alan Hubbard


Thesis: Statistical Analysis of Bicyclist and Pedestrian BehaviorAdvisor: Jon Fricker


Thesis: Modeling Topological Evolution Characteristics in Urban Road Networks

Senior Data Scientist at Uber

Uber

Senior Data Scientist

Uber

Data Scientist II

Uber

Data Scientist I & II

University of California, Berkeley

Consultant

University of California, Berkeley

Graduate Student Researcher

University of California, Berkeley

Graduate Student Instructor

University of California, Berkeley

Statistical Consultant

Apple

Data Scientist Intern

Purdue University

Research/Teaching Assistant

University of California, Berkeley

Transportation Engineering

Doctor of Philosophy (Ph.D.)

University of California, Berkeley

Biostatistics

Master of Arts (M.A.)

Purdue University

Transportation Engineering

Master of Science in Engineering

Purdue University

Applied Statistics

Graduate Certificate

Tongji University

Transportation Engineering

Bachelor of Engineering