C.V.

EDUCATION

New York University: MS, Applied Statistics (Expected May 2019)

  • GPA: 3.87
  • Course Assistant: Multilevel Models Spring 2019
  • Coursework includes: Causal inference, Introduction to Math Analysis I, Multilevel Models, Generalized Linear Models, Supervised and Unsupervised Machine Learning

New York University: BA Economics and BA Political Science (Graduated January 2015)

  • Economics Major GPA: 3.7; Dean’s List

EXPERIENCE

Vimbly (tech startup in 28 cities; activity-booking website) New York, NY

Business Strategy and Operations (April 2015 – August 2017)

  • Built data science-based tools to make the company more efficient in: managing customer service team members, measuring response time to customer issues, recruiting int’l contractors, and other data-oriented tasks
  • Data visualization: Constructed data visualization dashboard (R-Shiny) used by CEO on a weekly basis to review and plan activity availability nationwide; platform still in use today and drives workflow of 15 people
  • Machine learning: Trained a rudimentary machine learning algorithm to read ~20k activity descriptions and categorize them accordingly (e.g., improv show, dessert tasting); discovered ~500 misclassified activities (e.g., marked as food tour rather than cooking class)
  • Data validation: Created a system to replace manual data-validation tasks (involving 6 people) with an automated error-resolution dashboard (powered by SQL and Google Apps Script); result was a permanent reduction in human time required from 50 hrs/wk to 10 hrs/wk, and eliminating the need for ongoing developer support
  • A/B testing: Designed and analyzed A/B test with Operations Manager to optimize key pages in user flow; experimentation yielded ~25% increase in mobile bookings • Optimization: Reduced company-wide customer service costs by 19% by (a) creating data-driven re-allocation of service reps to time shifts; and (b) automating most statistically frequent support issues
  • Worked with Operations Manager to help manage and recruit an international 60-person data processing team

Legal Outreach Inc. (nonprofit servicing under-privileged youths) New York, NY

Law-Related Education Intern (May 2013 – August 2014)

  • Taught a class of 22 high school students from underprivileged areas about the criminal justice system; responsibilities include planning daily lectures, motivating students, and classroom management; students now matriculated in nation’s top schools
  • Only intern out of 15 candidates to be invited back by the organization to research and write original legal content for constitutional law debates

Programming Languages: R, Python, SQL

Personal Interests:

  • Badminton enthusiast (Top 4 player in NorCal D2)
  • Meditation (15 min daily)
  • Abandoned building exploration & photography (8+ years)
  • Reading (1 book/mo)
  • Camping (overnight stays in 16 US nat’l parks)
  • Jazz (1st place ranked in SF competition)
  • Languages: Native English, Fluent Korean, Basic Spanish