Xiangji Li

Detail-oriented data analyst with a strong foundation in mathematics and statistics. Experience in diverse data analysis projects, including wine quality and housing price assessments, encompassing data processing, modeling, visualization, and reporting. Achieved MS GPA of 3.83/4.00, consistently recognized on the Dean's List, with top grades in core statistics and mathematics courses.

Multi-Scenario Data Analysis Comprehensive Project (Wine Quality + Housing Price + Survival Rate) | Core Team Member

Wine Quality Influencing Factors Analysis

• descriptive statistics and correlation analysis, participated in wine sample data collection and preprocessing; completed cleaning, deduplication and outlier elimination for over 1,500 sets of wine physicochemical index (alcohol content, acidity, sugar content, etc.) and quality score data.

Housing Price Trend and Influencing Factors Modeling Analysis

• Conducted error analysis (MAE/MSE) on the model results, controlled the prediction error within 10% through optimization; presented the core influencing factors and regional trends of housing prices combined with visual charts, providing decision-making basis for real estate market analysis.

Feature-Based Population Survival Rate Prediction Analysis

• Used the logistic regression model for survival rate prediction modeling, identified key influencing factors such as age, gender and emergency resource accessibility through feature importance analysis.