A data analysis project exploring consumer behavior and sales trends through EDA using Python. Includes visualizations and insights derived from retail shopping data.

Analyze consumer preferences to segment products and guide product, pricing, and portfolio strategy using affinity-based data.

A highly customizable tool for generating chat record screenshots, designed for academic researchers preparing experimental stimuli and survey materials.可高度定制的聊天记录生成工具。面向科研场景，用于准备实验材料或问卷中使用的对话截图。支持样式独立调节、布局预设、JSON 导出/导入。

Statistical analysis of credit card purchase behavior across 1,603 consumers — testing whether social media exposure predicts dominant card selection using Chi-Square testing, demographic profiling, and platform-specific breakdowns in Excel.

市场营销 × 消费者行为研究的开源项目发现与实证分析平台

A data analysis project exploring online consumer behavior and FOMO effects using EDA on survey data.

👁️ 天眼 — Multi-agent population simulation for China market forecasting. 10K+ virtual consumers.

Analysis of restaurant ratings in Mexico using Power BI, exploring consumer behavior, dining preferences, and service insights from 2012 data.

huff: Market Area Analysis in Python

Factors influencing green product purchase decisions among residents of Vinhomes Grand Park urban area

An interactive Excel Dashboard analyzing bike sales trends using pivot tables and slicers. Visualizes customer demographics including income , commute distance , and age brackets to drive marketing insights.

A behavioral analytics study exploring how streaming platforms engineer infinite scrolling and attention capture.

Dự đoán hành vi người tiêu dùng dựa trên dữ liệu lịch sử mua sắm và tương tác trực tuyến tại Việt Nam.

AI-driven customer segmentation using K-Means clustering and RFM analysis. Transforms retail transaction data into actionable marketing personas (Loyalty-Driven, Deal Seekers, High-Spenders) to optimize retention and engagement.

A network analytics project analyzing music genre relationships and social influence using Deezer data, uncovering patterns in consumer preferences to support strategic artist positioning and marketing decisions.

Two PLS-SEM studies on Coca-Cola purchase intention using primary survey data in SmartPLS, covering measurement and structural models, bootstrapping, and mediation analysis.

Research Project

Survey-based data analysis of online shopping behavior, advertisement influence, and platform trust. Data collected via Google Forms and analyzed using Power BI to uncover consumer trends, preferences, and trust drivers across e-commerce platforms.

Survey-based empirical analysis of AI anthropomorphism, trust structure, and consumer purchase intention using Python statistical analysis and visualization.

Multi-tool analysis of consumer shopping habits using Python, SQL, and Power BI visualization.