• Developed a data dashboard enabling the clients (team coaches) to simultaneously analyze ice hockey game footage and dynamic plots of wearable device data for the athletes.• Detected the pattern of ice hockey shooting data; extracted qualified shots to form a training data set; applied the random forest model to train shot prediction algorithm and tested the accuracy of the model.

• Created SQL query functions to retrieve data from the NASA database; • Created a Shiny app for visualizing the progression of Land Surface Reflectance over time to help clients estimate forest change over time.

• Managed macro-level data analysis on the NFT market: Crawled data from major NFT marketplaces; applied multi-level regression to reveal the relations between NFT’s features and trading volume; produced a report to forecast potential trends of the NFT market.• Initiated the analysis of user satisfaction with the NFT project Mirror World: Crawled users’ content from project’s official group chats on Discord; applied text mining for sentiment analysis and identify user’s attitudes towards specific features; offered advice on designing new features.• Conducted a competitor analysis on the AI assistant Replika: Ran a product teardown of its dialogues, costumes, and rewards systems; backtracked the design logic and rules of different functions through data analysis; provided insight portfolio for the product managers to improve product strategies.

• Assisted in the research of 'Target Users and Market Entry Strategies for Tencent TV Cloud Gaming': Conducted exploratory data analysis on Chinese smart TV users; generated a report on user profiles and user scenarios; offered suggestions on market entry strategies that align with user preferences.• Conducted the user satisfaction survey for the game QQ Dance: Adapted the survey questionnaires according to the game operation manager's demands; collected and analyzed data from the questionnaires; identified the popular features in the game; offered recommendations on game operation strategies.

Timi Studio Group• Learned professional courses including “Game Evaluation & Analysis”, “Game Operation & Emission”, “Game Localized Design”, and “Game Data Operation”.• Designed the localization strategies for the game “Escape from Tarkov” in the group project.• Completed an individual study on “How Among Us Become Popular on Livestream Platform”: interviewed the players, concluded qualitative findings, and analyzed the success factors in reports

Yunyitong Technology Group