CV

Education

Chinese University of Hong Kong, Shenzhen, BSc in Data Science and Big Data Technology, Sep 2023 - Jul 2027

GPA: 3.392/4.000
Core Courses: Data Structures, Machine Learning, Advanced Machine Learning, Stochastic Processes, Database Systems, Optimization, Operations Management

University of California, Berkeley, Visiting Student (Berkeley Global Access), Aug 2025 - Dec 2025

GPA: 3.555/4.000
Core Courses: Efficient Algorithms and Intractable Problems, Discrete Mathematics and Probability Theory, Simulation for Enterprise-Scale Systems

Medical Test-free Disease Detection Based on Big Data

Evaluated model detection performance across common and rare diseases stratified by sample frequency
Quantified performance discrepancies using heatmaps
arXiv preprint: https://doi.org/10.48550/arXiv.2512.07856

Shenzhen Diankuan Network Technology Co., Ltd., Data Analysis Intern Jun 2026 - Aug 2026

Designed and deployed automated document revision workflows on the Dify platform
Built automatic web crawling pipelines for Kaggle datasets and algorithm codes
Established standardized "3+1" case development framework
Developed two complete lecture series on e-commerce user profiling and AI-driven marketing

Hangzhou Yifei Robot Intelligent Manufacturing Co., Ltd., Big Data Algorithm Intern Dec 2024 - Feb 2025

Built real-time monitoring models for production line data using statistical and time-series methods
Developed target detection training datasets for computer vision scenarios
Conducted full ETL processing for multimodal industrial data (robot joint time series, camera images, LiDAR point clouds)

Cardinal Operations: Optimization of Price Difference Arbitrage in Electricity Spot Market Jan 2026 - May 2026

Built XGBoost regression model for day-ahead and real-time electricity price prediction
Designed Distribution Robust Optimization (DRO) strategy with Wasserstein-1 fuzzy set
Achieved three-month cumulative return of RMB 11.3184 million with annualized Sharpe ratios up to 4.56

Reliable Online Decision-Making with Machine Learning Predictions Jan 2025 - May 2025

Employed XGBoost, Transformer, VAE, and GAN for financial time series prediction
Designed Trustworthy Online Decision Making framework with ε-tolerant OMS algorithm
Achieved significant Competitive Ratio improvement over benchmark algorithms

Data Space Use Case Research and Front-end Development May 2024 - Sep 2024

Campus Second-hand Trading Platform Mar 2026 - Apr 2026