Jinhao Jiang

Electrical Engineering undergraduate at Hangzhou Dianzi University with foundational knowledge in machine learning and statistics. Currently pursuing Computer Science studies at Fairleigh Dickinson University with coursework and hands-on projects in regression and clustering models, pandas, numpy, data cleaning, feature engineering, visualization, and database querying. Experienced in applying analytical and computational techniques to real-world datasets.

Linear Regression Model for Housing Price Analysis

• Analyzed the relationship between Cook County, Illinois property value estimates (500,000+ records) provided by Cook County Assessor's Office for tax purpose and actual house prices.
• Conducted a comprehensive data cleaning and data visualization for feature engineering and its pipeline.
• Optimized linear regression model through feature selection and regularization, achieving improved accuracy.

Logistic Regression Model for Spam Detection

• Preprocessed raw text data by extracting features with regular expressions (Regex) and creating a feature set for classification.
• Evaluated correlation between extracted features and classification outcomes to refine input variables.
• Trained and fine-tuned a logistic regression model, iteratively checking performance matrices, and scree plot analysis to balance the model.

E-commerce Platform User Behavior Analysis

• Processed and cleaned a dataset of over 100 million user activity records by SQL and Kettle.
• Conducted analyses including retention trends, time-series patterns, user conversion, behavioral pathways, and customer segmentation (RFM).
• Derived actionable insights such as product popularity classification and conversion efficiency across categories.