Exploratary Data Analysis on Diwali Sales data

This Project analyze Diwali sales data to improve customer experience and sales

Problem Statement

A Retail Company wants to analyze their sales around Diwali festival.

Objective:

• Improve customer experience by analysing sales data.
• Increase revenue.

Tools and Librabries used:

• Jupyter Notebook
• numpy
• matplotlib-pyplot
• seaborn

Conclusion:

Married women from age-group (26-35 yrs.) from UP, Maharashtra and Karnataka working in IT, Healthcare and Aviation are more likely to buy products from Food, Clothing and Electronics category.

Project Learnings

• Performed data cleaning and data processing in Python.
• Performed exploratory data analysis (EDA) using pandas, matplotlib and seaborn libraries.
• Improved customer experience by identifying potential customers across different states, occupation, gender and age groups.
• Improved sales by identifying most selling product categories and products, which can help to plan inventory and hence meet the demands.