Vehicle data classification (supervised, unsupervised learning)

Strategy Consulting Virtual Experience Program

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

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.

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

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

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

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

This repository contains an end-to-end data analysis project for Bellabeat, a health-focused smart device company. As a junior data analyst, we explore public smart device usage data to identify key behavioral trends and translate them into actionable marketing insights for Bellabeat.

Evolution of Consumer Insights & Analytics solution, from service design optimization to real-time insights and analytics

Text analytics project focusing on Brazil's e-commerce data to evaluate customer/supplier patterns.

This project explores and analyzes food industry data to uncover sales trends, customer preferences, and market insights. Using data cleaning, visualization, and exploratory data analysis (EDA), it helps businesses make informed decisions, optimize strategies, and improve overall performance in the competitive food sector.

M2 Internship report

This project offers an in-depth analysis of consumer behavior, logistical performance, and payment preferences within the e-commerce sector. By examining order costs, delivery times, and payment methods, businesses can uncover valuable insights into operational efficiency and customer preferences.

Using SAS Enterprise Miner performed Predictive Modeling Analysis using Decision Tree Technique to study the Consumer Purchase behavior in Supermarket when buying Organic Products.

Bellabeat Ftibit Case Study - Marketing Analysis

Optimize promotion targeting for Starbucks' simulated data.

Consumer insights and perceptual mapping project revealing how Canadian families perceive convenience vs. authenticity in baking, with strategies to boost Pillsbury cookie sales and brand authenticity.