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)

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.

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

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

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

Transform Product Reviews into Strategic Market Insights

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

Optimize promotion targeting for Starbucks' simulated data.

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.

Portfolio exploring culture, consumer behaviour, brand strategy, product thinking, and AI-assisted workflows.

Exploratory Data Analysis (EDA) on Fitbit users' data to uncover trends in activity and health metrics.

Consumer Behavior & Data Analytics Externship project with Beats by Dre - combining quantitative & qualitative insights to explore brand perception, product preferences, and sentiment patterns.

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

Market Research, Consumer Insights and Sentiment Analysis project for the restaurant and catering industry using Python, NLP and customer review analytics.

M2 Internship report

Live consumer demand data for AI market research agents. Amazon, Google Shopping, TikTok, Reddit, App Store. Free tier.

A Web Scraping project for the Yunnan Sourcing Website, using Scrapy & Beautiful Soup. Jupyter Notebook provided with analysis.

3-Layer Korean NLP × Trend × ML pipeline detecting consumer switching signals for head & shoulders.