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

huff: Market Area Analysis in Python

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

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

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

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 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.

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.

End-to-end customer behavior data analysis project using Python, SQL, and Power BI. Includes data cleaning, EDA, business queries, and an interactive dashboard to uncover customer segments, revenue trends, and actionable business insights.

A historical data study of video game sales and ratings across global markets. Using Pandas and SciPy, I identified life-cycle patterns and distinct regional preferences between Western and Japanese consumers. This predictive engine helps optimize inventory and advertising budgets based on regional platform trends.

A revenue and behavior study of Megaline’s base across Surf and Ultimate plans. Using Pandas and SciPy, I built a pipeline to analyze usage logs, managing outliers to isolate revenue drivers. Leveraging Seaborn, I created data visualizations that map consumption patterns to guide proactive commercial strategies.

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.

A market research case study analysing non-alcoholic beverage consumption patterns through consumer and retailer insights across Delhi.

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.

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.

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.