key achievement:Assist the business in achieving annual sales target, with an annual growth rate of 15%; Completed the implementation of two A-level projects from 0 to 1 and the upgrade iteration of one S-level project; Achieve “Super Star” in campus recruiting competition.Actions Taken:Analytical Forecasting & Strategy: Developed a key metrics monitoring system that integrated financial and operational data, leading to a strategic overhaul that improved forecasting accuracy by 40%.Data automation and visualization: Automated data cleansing with Python and enhanced BI dashboards with Power BI, which decreased data error rates by 30% and doubled the reporting frequency, enhancing strategic decision-making.Industry Analysis & Consulting: Conducted in-depth industry analysis using PEST and SWOT frameworks, contributing to a 20% increase in competitive market share by informing key sales and marketing strategies.Predictive analysis & User Engagement: Identify risks and opportunities by using a variety of different data sets, preventing 10 risks, and demonstrating the ability to translate data insights into significant business outcomes.Data Governance Leadership: Led data security training, reflecting a strong commitment to data integrity and security. Delivered analytics training that scored a 9.5/10 satisfaction rate, underpinning a department-wide upskill in data handling and analysis.

Key Achievement：Independently complete the market analysis reports, including policies, market environment, competitors, development prospects, etc.; Master various research methods such as questionnaire sorting and expert interviews;Action Taken：Market Research: Participated in strategic consulting projects for the world's leading automobile companies, using SWOT and Porter Five Forces to analyze the growth potential of the Chinese market; Providing market insights for product operation strategies.Report Writing: Generate a report about China’s passenger cars in the past decade based on sales, star car type, capacity expansion, new car type, etc., and compare on a year-over-year basis.Data Analysis: Applied historical performance data to evaluate and improve operations, target current business conditions, and forecast needs.