PROFESSIONAL EXPERIENCE

Walmart Global Tech

Data Scientist | eCommerce Growth Team, Experimentation | Jan 2021 - Present

• 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
• Designed ETL flows to construct customer segmentation by writing Hive and Spark SQL script on cloud platforms (GCP) with large-scale customer transaction datasets (over 1B rows), visualized multivariate analysis by Python in a clear and detailed way
• Complied reports outlining deep analytical insights about customer profile, presented key findings to cross-functional teams and leadership teams (Growth VP and SVP) in an effective and impactful manner

Ping An Technology

Data Mining Engineer Intern | AI Engine Team | Jun 2018 to Aug 2018

• Extracted more than 100,000 data samples from the company’s database using SQL, and classified customer data using decision tree machine learning method with Python in order to categorize bank customers and optimize ad delivery.
• Established a data preprocessing workflow with Spark to save 4 hours per week for each team member by learning Scala language quickly.

SanPower Group

Business Intelligence Analyst Intern | Jan 2018 - Feb 2018

• Supported CTO to integrate machine learning and artificial intelligence into the company’s infrastructure.
• Built an ARIMA time series model to predict cellphone sales of SanPower Group, reduced prediction errors from 13% to 5%.