JIALE ZHENG

Data Science student with strong programming skills in Python and experience in machine learning, data analysis, and system-level problem solving. Interested in AI computing, scalable systems, and high-performance applications.

Machine Learning Project – Housing Price Prediction
• Built regression models using Python (sickie-learn) to predict housing prices
• Performed data preprocessing, feature engineering, and model evaluation using RMSE
• Improved model accuracy through hyperparameter tuning and cross-validation

Data Analysis Project – Student Performance Analysis
• Analyzed large datasets using Pandas and NumPy to identify key performance factors
• Visualized data using plots to uncover trends and correlations
• Generated insights to support data-driven decision making

System Optimization Project – Ride Matching Platform
• Designed a ride-matching algorithm based on user demand and location patterns
• Optimized routing efficiency and reduced operational costs
• Processed and analyzed 1500+ ride records to improve system performance