Chenxi Xia

Processed and analyzed 9.5 million user behavior records using Python, performing data cleaning, feature engineering, and clustering analysis. Applied PCA, UMAP, Lasso/Ridge regression, and social network analysis to identify key factors affecting user payment and retention. Provided user segmentation and operational recommendations to support game operations and targeted marketing.

Developed forecasting models using three years of agricultural price data. Built ARIMA and LSTM models to predict agricultural price fluctuations. Evaluated model performance using RMSE, MAE, and SMAPE.

Researched financial market data sources and supported the development of a 100K+ financial database. Developed Python-based web crawlers, improving data collection efficiency by 35%. Built data cleaning and quality assessment pipelines to improve data quality and usability. Applied NLP and LLMs to process 600+ regulatory documents, achieving 75% accuracy.

Focused on data engineering, knowledge management, software engineering, process analytics, and information systems management. Participated in research projects on innovation management and information systems, strengthening research, presentation, and interdisciplinary collaboration skills.

Major in big data management and application, systematic study of database principles, data mining, ML, statistical analysis, Python programming and other courses.