Ruike Zhu

Supported the retail company PUIG in the go-live of the retail system Xstore

• Involved three interfaces: Payment, CRM and Invoice
• Gained hands-on experience with various engineering tools, equipment, and materials through active participation in practical workshops.
• Devops.Jira

• Collaborated on a machine learning project aimed at monitoring and predicting coastal line changes in a specific region.
• Responsible for the cleaning, preprocessing, and transformation of raw data to ensure accuracy and consistency for further analysis and model training.
• Utilized Python libraries such as Pandas and NumPy to handle large datasets and remove noise from raw data.
• Applied statistical methods to detect and correct outliers, missing values, and inconsistencies in data.
• Ensured the dataset was properly formatted and ready for machine learning algorithms to improve prediction accuracy.

• Developed a shop filtering website with teammate aimed at helping university students save on daily expenses by comparing prices across multiple stores.
• Implemented front-end functionalities using TypeScript, allowing users to filter shops based on categories, prices, and promotions.
• Integrated dynamic search and filtering features to enhance user experience, ensuring fast and responsive interaction.

• Developed a simple dungeon game as a web-based project using TypeScript to enhance game logic and user interaction.
• Designed the game layout and implemented movement mechanics for characters, enemies, and obstacles within the dungeon environment.
• Utilized HTML, CSS, and TypeScript to build the front-end interface, ensuring smooth gameplay and responsive design.