M: 98826846 | E:rock21invictus@gmail.com| Site:https://shorturl.at/Mh0uI

Professional Skill

Products : User portrait, PRD, demand analysis Data analysis : Indicator system, Python, data Mining, web scraping, R Language Foreign Language (English) : GRE 322 , IELTS 7.5 (Spoken 7.5 ) Office : Visio, Xmind | Visualization : Tableau, PowerBI

Education

Nanyang Technological University

• Master of Business Analytics ( Jul 2024 - May 2025 )

University of International Business and Economics

• Bachelor of International Economics and Trade ( Sep 2019 - Jun 2023 ）
• Awards: TW&HK Scholarship, Honghu start-up awards, L'Oreal BrandStorm Top 100 , team of Nation Innovation Game

Internship experience

TCL, Honghu Laboratory（华星科技）

Data Analyst Apr 2024 - Jul 2024

User demand data mining

• Constructed 4-dimensional intelligent response indicators based on sentiment analysis, aim at surpassing rivals by 15 %.
• Matched user needs and system responses in different scenarios, and utilized LLM to generate 10000 + training data
• Result : Labeled user scenarios. Construct methods to generate high-quality data, saving manual costs by 7 pd

Intelligent product large model performance improvement

• Conducted in-depth research on 30 + large language models and optimized the product database.
• Use quantitative variables to conduct decision tree cross-validation, making recognition accuracy increase by 10 %
• Result : 6 tasks performance increased by 16. 5 % (complex scenes accuracy increased by 21 %). Verified model’s reliability

Walnut Programming（核桃编程）

Data Analyst Jul 2022 - Nov 2022

User retention analysis

• In order to improve the conversion rate of trial classes for North American business, I used funnel analysis and user portrait modeling to accurately locate user pain points.
• Constructed the Logit regression model (accuracy rate 72 %) to predict potential paying users, and optimize the reach strategy based on regional and ethnic differences (such as the Middle East and white ethnic groups).
• Result : successfully increased the class attendance rate by 18 % and saved 17 % in access costs through model prediction.

Reach and conversion strategy construction

• Built a multi-channel attribution model, deeply analyzed the impact of different channels on conversions
• Optimized reach by combining attribution models to determine the most effective channels for each merchant tier. Analyzed the funnel and use known conversion rates to identify optimal touchpoint combinations.
• Result : Differentiated contact frequency and words are more targeted, and the conversion rate increases by about 3 %

Campus VC Technology （校园VC）

Product Manager Jul 2022 - Sep 2022

• Scraped keyword data from Web 3 projects, aiding in benchmarking and product positioning. Overseeing full product development. Utilized Figma for prototyping, contributing to a national hackathon with a 6 - star GitHub music NFT project.

Terminus Technology (光大控股-特斯联)

Market Researcher Jul 2021 - Nov 2021

• Conducted cold calls and participated in robotics forums to inquire and investigate exhibitors, combined with public data to establish market competition analysis, and summarized product advantages, and compiled 22 weekly public opinion reports.

Project experience

Meituan business analysis

Mar 2023 - Mar 2023

• Operation analysis and monitoring project for two brands of takeaway stores of a catering company.
• Through in-depth analysis of store revenue, cost and traffic data, we successfully identified problem stores with low actual revenue and evaluated the effects of various traffic acquisition strategies.
• Result: Constructed strategies of increasing paid traffic, optimize the subsidy ratio. Designed a dashboard with Tableau.