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.

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.

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

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

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

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.

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

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.

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

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

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.

Research Project

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.

Career Foundry data analytics project to provide a client recommendations on a marketing strategy. Jupyter notebooks include cleaning and merging data along with creating new columns to offer the best understanding of consumers' interactions with products.

Analyzes historical video game sales to identify success factors across platforms, genres, and regions. Helps retailers focus on high-potential games and tailor marketing strategies to regional preferences, enabling data-driven decisions for inventory and promotions.