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Extracting insights from data to drive informed decisions.
Focusing on post-training optimization and agents.
Development of applications for iOS and other mobile platforms.
Just a hobby and I'm not a professional photographer.
Pursuing Master's degree in Applied Statistics, focusing on advanced statistical methods and their practical applications. Conducting in-depth research projects to enhance data analysis and problem-solving capabilities.
Bachelor's degree in Statistics. Established solid theoretical foundation in statistical analysis, machine learning, and data mining. Participated in national data modeling competitions to develop practical implementation skills.
Working on machine learning projects and data analysis for real-world applications.
Processed 43 variables from 4-year NetHealth dataset (30k+ entries) with missing value imputation and Box-Cox transformation.
Conducted PCA dimensionality reduction on independent variables and handled outliers with appropriate statistical methods.
Developed stacked ensemble model (ElasticNet + RandomForest + GBDT) achieving MSE 0.032, outperforming base models through grid search optimization.
Aggregated health indicators from NBS databases and CNKI research metadata via web scraping techniques.
Developed composite health metric using Principal Component Analysis (PCA) to create comprehensive health indicators.
Implemented LASSO regression for feature selection, identifying key determinants through sparse regression analysis.
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