Meirui Yu

1. Collected various financial data, including macroeconomic data, industry data, market data, and clients' financial data. 2. Utilized professional analysis tools and models such as Bloomberg, Wind, Excel, and Python to conduct in-depth analysis of financial data to evaluate trends in financial markets, industry development prospects, and predict price movements of various financial assets. 3. Conducted research on key drivers of market space in the TMT industry, including penetration rates, repurchase rates, and average transaction value. Assisted in industry research, competitor analysis, client analysis, and business reports.

1. Conducted in-depth research on short-video and long-video platforms (TikTok, Kuaishou, iQIYI, Netflix), analyzing industry drivers through three dimensions: user scale, monetization capability, and ecosystem expansion. 2. Defined industry size measurement frameworks, distinguishing between: User metrics (DAU/MAU, average usage duration, daily launch frequency, penetration rate), Revenue metrics (advertising, live-streaming e-commerce commissions, value-added services), and Ecosystem metrics (MCN, SaaS tools, content production services) 3. Utilized Sensor Tower, Questmobile, Wind, and Bloomberg to build a structured database tracking platform traffic trends, ARPU, revenue growth, and market share evolution. 4. Assisted in drafting industry deep-dive reports and earnings previews, including iQIYI Q2 2023 and Kuaishou Q2 2023 performance analysis. 5. Built financial models for Alibaba Pictures and Maoyan under mentorship.

1. Collated and reviewed financial data, accurately entered operational data, verified sales data and generated detailed financial sales report. 2. Contributed to the development and implementation of employee performance appraisal programmes, assisting in the design and review of related questionnaires to ensure fairness and accuracy of appraisals. 3. Provided updated daily financial reports to support senior-level decision-making.