Crystal Huang

Sr Data Analyst

Austin, Texas, United States

About

Experience

  • Senior Data Analyst at ReUp Education
    Nov 2024 - Present · 1 yr 9 mos

  • Opendoor (3 yrs 1 mo)
    • Data Analyst, Postal Mail Marketing
      Aug 2022 - Sep 2024 · 2 yrs 2 mos

      After two years of running the $2MM/mo postal mail marketing channel, the team and I had made postal mail the most data driven out of all of Opendoor's channels. We run 2-3 overlapping A/B tests per month, have an ongoing holdout group that continually measures ROI, target customers using an ML model, and control nearly all of the data processing. I'm really proud of myself and my coworkers! - Ran A/B tests in our $2MM/mo mail channel, improving customer acquisition by 20% so far - Solved 3 year old attribution model error and reduced its runtime from 8 to 3 hrs/day - Organized data science show and tell sessions with my team, presenting topics such as data leakage - Assisted in migrating complex 10-table data pipeline in house, saving $1.5 million/year in processing fees

    • Data Analyst, Product Growth
      Sep 2021 - Feb 2023 · 1 yr 6 mos

      - Doubled team’s A/B test velocity and increased customer acquisition rate by 15% - Built 3 foundational dashboards, still used in bi-weekly org meetings today - Delivered insights on using push notifications for cross-platform reengagement - Trained and wrote experiment playbook for Data Science team

  • Austin Capital Bank (Austin, Texas, United States)
    • Analytics Manager
      May 2021 - Aug 2021 · 4 mos

      - Wore multiple hats covering analytics, automation, product, and vendor management - Praised as "expert communicator" by COO for describing tech issues to non-tech coworkers - Hired and led 3 data analyst interns, whose work influenced our $300k/mo marketing budget

    • Product Manager - Customer Service Portal
      Nov 2020 - May 2021 · 7 mos

      - Trained customer service folks on Jira, reducing meetings by 30% and resolution time by 50% - Served as Product Owner for building the company’s data warehouse

  • Capital One (2 yrs 4 mos)
    • Business Analyst
      Aug 2019 - Nov 2020 · 1 yr 4 mos

      - Improved and ran a Python fair lending auditing model, decreasing runtime by 20% - Spearheaded improvements on slide-automation tool, saving 40 analyst hrs per quarter - Reduced turnaround on monthly credit risk monitoring process, from 60 to less than 40 days

    • Data Analyst
      Aug 2018 - Aug 2019 · 1 yr 1 mo

      - Automated 20+ reports using Airflow, an open-source report scheduler - Created table standardizing business metrics across department - Created monitoring report allowing users to view risky segments calculated multiple ways

  • Software Engineer Intern at U.S. Naval Research Laboratory
    Jun 2014 - Jul 2014 · 2 mos

    Skipped high school graduation for this job, where I learned MATLAB programming and increased the Navy's navigational wave model