Hong Kong, Hong Kong SAR
🏫-With a Bachelor's degree in Computer Science and Technology from Guangxi University and currently pursuing a Master's in Data Science at Lingnan University, Hong Kong, I specialize in data analysis, software development, and product operations. 💼-During my internship at Amazon as a Big Data Mining Intern, I processed user behavior and sales data, participated in building and optimizing big data mining models, boosting iteration efficiency by 5% through weekly training reports. Previously, I interned at Guangxi Hongtai Survey and Design Co., Ltd., engaging in full-cycle software development with Java, Python, and frameworks like Spring and Django. 🔬-My project experience includes key roles in Alibaba's Amap C-end product operations (gray release strategy, user community management, data tracking), independent development of a hospital treatment management information system (reducing record processing time by 80% and increasing report generation speed by 70%), and contributing to a CNN-based face recognition project that achieved 94.5% accuracy, obtained an Australian patent, and reduced overfitting by 65%. 📖-Proficient in Python, R, Java, C++, and tools like Flask and Photoshop, I hold an IELTS 6.0 certificate and can work in English and Cantonese. With strong logical thinking, business and data acumen, and excellent communication skills, I excel at demand mining and problem-solving. I’ve also earned honors such as Excellent Student Union Cadre and awards in competitions, complemented by a passion for public welfare and strong teamwork.
Data Cleaning: Processed user behavior and product sales data, removed noise and outliers, and output high-quality datasets. Model Construction: Participated in the construction of big data mining models, extracted key influencing features to help improve model accuracy. Model Training: Assisted in model training and optimization, output 1 training report weekly, which increased model iteration efficiency by 5%. Tool Application: Used tools such as Python and R to conduct data analysis and output analysis results.
Code Development: Used Java, Python and other tools to write project code and participated in the whole process of computer software development. Framework Application: Used Spring, Django development frameworks and Maven, Gradle build tools to assist in the development of software modules. Pattern Practice: Deeply understood and implemented the principles of MVC and MVM design patterns, and completed the structural design and implementation of modules.