consumer-insights

This repository contains my academic marketing and customer data analytics related projects using R and SQL.

Strategy Consulting Virtual Experience Program

Vehicle data classification (supervised, unsupervised learning)

Python client for the YouGov BrandIndex API. Query brand perception metrics, sentiment scores, and consumer awareness data with timeline and multi-brand support.

🔍 AI-powered Xiaohongshu (小红书/RedNote) user pain point discovery & analysis. NLP + VLM multimodal analysis for product managers and entrepreneurs. 从海量小红书笔记评论中，用AI自动发现用户真实痛点。

Built upon an existing open-source project to analyze cosmetic product pricing by examining ingredients, brand influence, and customer ratings. Enhanced the project with ingredient scoring, brand analysis, and data visualizations using Python and Sephora data.

Docs for the Minds MCP server: run AI market research with synthetic customer panels from ChatGPT, Claude, and Cursor.

AI market research & public opinion (social listening) agent: Xiaohongshu, Douyin, Weibo, Reddit, X, HN → evidence-graded, traceable report. Every source traceable, every step in your hands · AI 市场调研 / 舆情分析 / 竞品调研：来源查得到，过程停得下

Classification ML models for predicting customer outcomes (namely, whether they're likely to opt into email / catalog marketing) depending on customer demographics (age, proximity to store, gender, customer loyalty duration) as well as sales and shopping frequencies by department

Optimize promotion targeting for Starbucks' simulated data.

Pangolinfo VOC Insight MCP: local stdio bridge and developer examples for voice of customer, social listening, sentiment analysis and AI agent research.

Traceable bilingual Amazon review insight agent for cross-border beauty operations

Customer behavior analytics project using Python and PySpark to analyze purchasing patterns, segment customers, and uncover engagement trends. Applied data processing and analytical techniques to generate insights that support data-driven marketing, customer retention, and targeted business strategies.

Analyzed 11,000 Play Store reviews across major fintech apps to identify complaint patterns, trust breakdowns, and user sentiment differences using Python, SQL, and structured review analysis.

Performed Clustering Analysis using SAS v9.4 on Power Usage & Consumer Goods Data to draw insights about the dataset.

AI-powered consumer trend prediction model — discovers emerging themes, tracks sentiment, and predicts trend momentum from any product review dataset

Repo for IBEC 2026 Case Study project at Politecnico di Torino - Team 47

产品平台｜项目管理、产品测试与产品研发的统一入口；保留 CategoryLab 与供应商基础源码，新版三合一源码独立维护。

Public company profile and research links for AskSapien, an AI market research company.

Perceptual mapping of athletic shoe brands using aggregate similarity and attribute-distance data