Grocery Store Case Study

Provided recommendation using various analytical techniques on how to expand to a grocery store chain.

Clustered the existing stores into three clusters using K-Means. The clusters were developed taking into account variety of parameters after applying of PCA.

Predicted the clusters for new stores using Boosted Model with an accuracy of 83%.

Forecasted fresh produce sales of every month for the next year based on historical data using ARIMA model.

Tools used are Alteryx and Tableau

Capstone project for Udacity Nanodegree: Predictive Analytics for Business

Tableau Workbook prepared for the project (Link)