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xingyupeng
@xingyupeng
data analyst
China
Chinesisch, Englisch
Über mich
I’m a data analyst specializing in user growth, customer retention, and business intelligence. I help businesses turn complex data into clear insights and practical recommendations. My experience includes analyzing hundreds of millions of user behavior records and supporting decisions across marketing, product, and operations teams. Whether you need to monitor business performance, evaluate a new strategy, or better understand your customers, I can deliver clear visualizations and actionable findings tailored to your business goals.
Kompetenzen
xingyupeng
offline •
Meine Dienstleistungen
Marketing-Analysen
I will turn complex data into clear insights
Arbeitserfahrung
Data Analyst
ByteDance • Vollzeit
Jun 2023 - May 2026 • 2 yrs 11 mos
•Analyzed hundreds of millions of user behavior records using SQL. Developed core business metrics and Tableau dashboards to monitor daily and monthly active users (DAU and MAU) and investigate unusual movements. •Helped design and implement an A/B testing framework to evaluate the impact of operational strategies on engagement. Delivered reports supporting three feature iterations and contributed to an 8% increase in click-through rate for a key button. •Designed segmented engagement strategies, including pop-up recommendations for high-potential users and reactivation campaigns for dormant users. Used RFM segmentation to identify target customers, helping increase monthly active buyers in the commerce section by 18% month over month and the repeat purchase rate by 12% year over year. •Built a LightGBM churn early-warning model with an AUC of 0.83, including data cleaning and feature engineering. Used predictions to refine push-notification strategies and contact frequency, and partnered with operations on targeted retention coupons, reducing quarterly churn by 5%. •Designed and implemented automated BI reporting to improve data access and analysis, increasing report production efficiency by 25%. Led the integration of sales, advertising and user behavior data, aligned data standards across teams, and supported performance above the annual revenue target.
