Kun Wei Email & Phone Number

中国 上海市

1. Data Replay: Utilized SQL to capture data on products and sellers in the apparel industry. Conducted weekly data reviews across different dimensions such as products and sellers, analyzing the relationship between GMV, sales volume, and seller count changes. Compared with overall market trends and analysed abnormal data to identify reasons for changes, culminating in weekly replay reports.2. Promotional Activity Submission: Segmented products based on price and seller needs for promotional activities. Classified products into high-priced, zero-bid, and bid-but-limited-supply categories, designing tailored promotional activities to achieve an average GMV_ROI of 25. Sellers were segmented into retention, re-engagement, and cross-category acquisition categories. Developed a seller reservation system from 0-1 based on seller bid frequency and order volume, issuing coupons to recently inactive sellers to prevent attrition, successfully retaining 4,000 sellers. Achieved 150% of the quarterly KPI completion rate.3. Cross-Category Acquisition: Proposed cross-category acquisition activities targeting sellers with sales in other categories of the same brand. Issued seller coupons based on different sales volumes, continuously optimizing sensitivity towards these coupons. Analyzed monthly GMV trends and assessed main seller group GMV proportions through month-over-month and year-over-year comparisons. Engaged with industry colleagues for revisits to top and middle-tier sellers showing data anomalies to prevent seller loss.

Industry Analysis: Researched pension wealth management products from the income types, risk levels, and new policy orientation and combined with retail bank wealth management products. Wrote a 600-word report on industry insights.Data Capture: Used Python and third-party resources (such as Beautiful Soup) to crawl China Finance Network and Sina Finance Network to capture market data. Extracted nearly 500 pieces of data and visualized by Excel.Data Analysis: Organized nearly a thousand data through Pandas and NumPy. Performed data cleaning and dealt with missing and abnormal data. Provided investment opinions as a basis for the analyst's follow-up work.

中国 北京市

• 产业分析：针对养老理财产品进行调研，主要从分析收益类型，风险等级，新政策导向并结合零售银行理远程2023.01-2023.03财产品，撰写行业洞察报告1份/600字。• 数据抓取：根据项目要求使用Python和第三方库（如Beautiful Soup）对中国理财网和新浪财经网进行爬虫，抓取市场行情的数据。共提取近500条数据并通过Excel整理进行可视化表单呈现。• 数据分析：独立使用Pandas和NumPy库整合近千募集规模数据，进行数据清理，处理缺失和异常数据并提出相应投资意见。为分析师的后续工作提供依据。

中国 河南省 郑州

Responsibilities: Led 6 people responsible for the user growth of overseas rental platform products, new media operations, community operations, and data monitoring.User Growth: Build an overseas users operating system from 0 to 1, including establishing a Xiaohongshu account and 3 private communities. Reached 3K+ followers to improve the brand's exposure; the user conversion rate was 25%.New Media Operation: Operated the Xiaohongshu account, including article writing, fan interaction, and replies on time. Ranked 1st on the social media platform, and the number of article clicks exceeds 80% of similar bloggers.Community Operation: Operated three WeChat groups through services like sending real estate and study abroad information to promote activation. Enhanced user stickiness and activity effectively.Data Monitoring: Monitored and analyzed relevant data of Xiaohongshu and Enterprise WeChat. Adjusted the operation mode on time according to user forwarding, click rate, private message comments, daily and monthly active users, and proposed user retention suggestions.Achievement：Won the Best Newcomer Award in May 2022; Won the 1st in personal and group revenue (16w and 21w) for two consecutive months；Broke the company's single-person single-month revenue record, and won the company's total revenue No. 1 One (55w)