PROFESSIONAL EXPERIENCE

Circle

Data Scientist | Product Analytics, USDC Growth | Apr 2022 - Present

• Drove insightful understanding of USDC (core product) users and the crypto ecosystem, delivered weekly reports to the C-suite, and published dashboards that provides visibility at the company level with 300+ people
• Led an end-to-end product launch, designed databases and metrics, and drove execution with cross-functional team based on data insights, resulting in hitting half-year OKR within 3 months
• Monitored and analyzed company-level core metrics, identified the root cause of declining metrics, and identified opportunities for growth

BoxWhite Analytics

Co-founder, COO | Apr 2021 - Apr 2022

• Led a machine learning project which achieved 74% better accuracy to help a top-tier fast-moving consumer goods client create their digital edge on innovation product forecast
• Elaborated model performance and business insights to clients’ leadership team (Head of supply chain and Head of analytics) to expand the project scope and further integration
• Built data science and marketing team by hiring over 10 team members, coordinated bi-weekly all hands meeting, and developed the project management process inside company

Walmart Global Tech

Data Scientist | eCommerce Growth Team, Experimentation | Jan 2021 - Apr 2022

• Designed, implemented, and evaluated marketing experiments by using statistical inference, translated one successful experiment which drove 150% increase of members upgrade rate into a permanent marketing strategy
• Defined key metrics (conversion, churn, and upgrade rate) on Walmart Plus (a subscription program), and delivered analytical insights to drive business team to make key decisions on marketing experiment
• Built a company-level A/B testing platform by using SQL to compute critical metrics on Spark/HIVE (leveraging CTE, window function, and self-join) and developing back-end Python functions
• Reduced 80% experiment design delivery time by developing an Airflow pipeline to automate the design process
• Saved 50% resource finding time for team members by optimizing experiment tracking process and utilizing right project management tools inside company

Data Scientist Intern | eCommerce Growth Team | Jun 2020 - Aug 2020

• Translated existing business problems into statistical questions by defining metrics of customer lifetime value (LTV) prediction to accommodate team's short-term and long-term goals, took initiatives including research, dataset discovery and quality control