帮我添油加醋地把这部分简历内容翻译成英文要更职业化一些: 项目背景 尼尔森为客户定制的电商数字化样本库分析项目由于项目数据反映的涨跌的幅度与客户公司内部的认知存在差异2021年客户对数据质量提出了更高要求。此外由于数据体量较大客户问询的响应速度较慢。 职责 对样本库用户进行打标与可视化分析确认分层逻辑。用多重线性回归计算各层级权重重新加权计算购买渗透访问渗透客单价等电商核心指标。此外针对客户问
Project Background: Nielsen's customized e-commerce digital sample library analysis project for clients showed discrepancies between the amplitude of fluctuations reflected by the project data and the client's internal understanding. In 2021, the client raised higher requirements for data quality. Additionally, due to the large volume of data, the response speed to client inquiries was slow.
Responsibilities: Conducted tagging and visual analysis of sample library users, confirmed stratification logic, and used multiple linear regression to calculate weightings for each level. Re-weighted core e-commerce metrics such as purchase penetration, visit penetration, and average order value. Furthermore, designed an intermediate table solution to improve efficiency in response to the slow client inquiry issue.
Achievements: Successfully corrected data indicators to a reasonable range and resolved sample representativeness issues. The intermediate table solution reduced data query time by 80%. The contract for the next year's CBA project was successfully renewed with the client
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