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.

huff: Market Area Analysis in Python

👁️ 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.

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.

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

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.

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.

Research Project

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.

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

Proyecto de análisis del mercado de apps de citas desarrollado en Tableau. Incluye dashboards sobre comportamiento de usuarios y dinámica del mercado, junto con un análisis de sentimiento de reviews internacionales para evaluar la satisfacción de usuarios en tres apps de citas.

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.

Large-scale sentiment analysis on Amazon beauty reviews revealing psychophysical threshold effects

Detecting psychological manipulation tactics on Amazon.in using Python web scraping, NLP classification & Tableau — 94% of products use fake discounts

Smartphone Purchase Prediction Dashboard - An interactive web application for predicting and analyzing smartphone purchase behavior.