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。此外受到数据体量较大的限制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
Project Background: Nielsen's customized e-commerce digital sample library analysis project for a client faced challenges in 2021 due to discrepancies between the data trends reflected and the client's internal understanding. The client demanded higher data quality standards, and the project also faced slow response times due to the large volume of data.
Responsibilities: Conducted labeling and visual analysis of sample library users, confirmed hierarchical logic, and calculated weightings for each level using multiple linear regression. The recalculated weightings were used to calculate e-commerce core metrics such as purchase penetration, visit penetration, and average order value. Additionally, designed an intermediate table solution to improve efficiency and address the slow response times.
Achievements: Successfully corrected data indicators to a reasonable range and resolved sample representativeness issues. Intermediate table solution reduced data query time by 80%. Renewed the client's CBA project contract for the following year
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