Vehicle data classification (supervised, unsupervised learning)
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Updated
May 23, 2023 - Jupyter Notebook
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.
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.
Optimize promotion targeting for Starbucks' simulated data.
Using SAS Enterprise Miner performed Predictive Modeling Analysis using Decision Tree Technique to study the Consumer Purchase behavior in Supermarket when buying Organic Products.
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