Enzo Wu Email & Phone Number

Taiwan

Taipei City, Taiwan

• Automation Skills: Created Python automation scripts for efficient data handling in maritime reports and sales, reducing the manager's working hours by six hours per week.• Problem Solving - Develope Algorithm: Designed sells-through metrics to track sales velocity and stock shortages, visualized on Tableau to enhance effective distribution.• Quasi-Experiment: Applied Propensity Score Matching Method to to pair experimental and control groups in retail store trials.• Causal Analysis: Employed the difference-in-differences methodology to evaluate the effectiveness of campaigns conducted with telecom partners.• Data-Driven Store Management: Implemented clustering algorithms to analyze external environmental factors and sales conditions of retail stores, establishing tailored sales targets and management criteria.• Communication: work closely with senior account sales managers, and regional manager in managing telecom store business across carrier partners in Taiwan.

台灣 臺北市

- Project Development and Collaboration: Collaborated closely with academic department members to successfully engage and partner with eight domestic and international companies across e-commerce, electronic payments, and Fast-Moving Consumer Goods (FMCG) sectors. Notable partnerships included Unilever, HourLoop E-commerce, ShopBack, and @cosme.- Project Management: Independently led two corporate projects with teams of approximately eight members. Managed product administration and sales strategy on the Shopee e-commerce platform for Unilever, and conducted user feedback-driven factor analysis for @cosme.

台灣 臺北市

- Analyzed cross-brand member consumption in a restaurant group via CRM, finding only 8% had cross-brand records through data segmentation and visualization.- Conducted root cause analysis on low member point redemption rates, revealing high one-time membership and redemption thresholds as key factors.

台灣 臺北市 台北

- Conducted business model analysis by researching global C2C and online children's education platforms, deeply analyzing corporate positioning and strengths/weaknesses to plan feasible strategies.- Executed market research surveys targeted at K12 parents and children to understand learning preferences and payment capabilities, providing key data for pricing and course strategy.- Formulated strategies, implementing a user growth strategy focused on group online courses and pricing plans, aiming to achieve a threefold increase in quarterly revenue.

• Utilized Selenium to crawl financial reports and operated Pandas to manipulate data, declining the team's time consumption by one month. • Constructed predictive models and tuning parameter for XGBoost to yield over 95% out-of-sample accuracy.• Commuted with business management and engineering backgrounds as a conduit to supporting this internship project to win first place.

學士, 經濟學系

碩士, 經濟所

Five Year College, English Language And Literature/Letters