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.

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.

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.

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

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

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.

M2 Internship report

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

Optimize promotion targeting for Starbucks' simulated data.