Matrix Factorization with SVD

This report analyzes customer purchasing behavior in the chips category using transactional and demographic data provided by Quantium. The goal is to identify high-value customer segments and understand the factors driving chip sales. Key insights include sales by lifestage and premium category, average spend, pack size preferences, and recommendations for promotional strategy. Tools used: R, tidyverse, ggplot2, dplyr, lubridate. Prepared by: Priyanshi Singh Date: June 2025

This report visualizes Netflix content trends through three charts: content type distribution, annual release growth, and top 5 ratings. Each chart includes subtitles to support intuitive understanding and business-level insights.

This project leverages a diverse text dataset (blogs, news, and Twitter) to build a predictive text application. The project has the following steps: Step 1. First it explores and summarizes text data. (Milestone Report focus)