Projects

User Behavior Analysis on Taobao E-commerce Platform

Brief Description:
Conducted an in-depth analysis of user behavior on Taobao to improve platform traffic and enhance user experience.

Time Period:
Sept 2022 - Oct 2022

Tools:
Python, Pandas, Matplotlib, Seaborn, AARRR Model, RFM Model, Data Warehousing, Data Mining

Key Achievements:

• Developed a comprehensive analysis using the AARRR model to understand user behavior, resulting in three strategic suggestions to increase platform traffic.
• Implemented data cleaning and feature engineering processes to prepare large datasets, achieving accurate user behavior trends.
• Created visualizations of user visit and conversion trends, identifying key areas of user drop-off and suggesting methods to increase conversion rates.
• Applied the RFM model to categorize user value, enabling targeted marketing strategies that increased customer retention and loyalty.