Product, growth, and
content ecosystems.产品、增长与
内容生态。

Role and scope. Led content ecosystem work at WiFi Master Key, connecting content production and distribution with recommendation, creator supply, and user growth.

Work. Built the content pipeline from 0 to 1 and connected the supply, recommendation, and growth loops into a repeatable workflow.

Result. Daily active users grew from 20K to 2M. This describes the change in the product’s daily active user base.

职责范围。 在 WiFi 万能钥匙负责内容生态工作，连接内容生产与分发、推荐、创作者供给和用户增长。

主要工作。 从 0 到 1 搭建内容体系，将供给、推荐和增长环节连成可运转的闭环。

结果。 日活用户从 2 万增长至 200 万。该数字描述产品日活用户规模的变化。

Product and role. Owned recommendation and growth strategy for QQ Short Video (Xiaoshijie) at Tencent.

Work. Turned user signals into product strategy, experiments, and content ecosystem decisions. The role connected recommendation systems, A/B testing, and user growth.

产品与职责。 在腾讯负责 QQ 小世界的推荐与增长策略。

主要工作。 将用户信号转化为产品策略、实验和内容生态决策，围绕推荐系统、A/B 测试与用户增长开展工作。

Role and scope. Worked as a senior data analyst across international content products at ByteDance.

Work. Researched TikTok’s international content ecosystem, contributed to Resso product optimization, and carried out user-growth analytics. The work connected content ecosystem research with product and growth questions.

职责范围。 在字节跳动担任资深数据分析师，参与国际化内容产品的数据分析。

主要工作。 开展 TikTok 国际化内容生态研究、参与 Resso 产品优化，并进行用户增长分析，将内容生态研究与产品、增长问题联系起来。

Role and scope. Worked in data analysis across iQIYI and Ximalaya, focusing on content platforms and user behavior.

Work. Covered recommendation analytics, user-behavior modeling, ad optimization, and paid-user segmentation. Python and SQL were part of the analytical toolkit.

职责范围。 在爱奇艺、喜马拉雅从事数据分析，关注内容平台与用户行为。

主要工作。 开展推荐分析、用户行为建模、广告优化与付费用户分层，使用 Python 和 SQL 进行分析。