Diwali Sales Analysis Using Python

Data Analysis, or Exploratory Data Analysis (EDA), is a core component of data science. This project demonstrates EDA methods and techniques using Python, with the Diwali Sales dataset from Kaggle as the focus. This dataset is ideal for performing EDA and serves as a great starting point for diving into the fascinating field of data science.

Project Description

• Data Cleaning and Manipulation: Performed to ensure the dataset is ready for analysis.
• Exploratory Data Analysis (EDA): Conducted using Pandas, NumPy, Matplotlib, and Seaborn libraries.
• Customer Experience Improvement: Identified potential customers across different states, occupations, genders, and age groups.
• Sales Improvement: Identified top-selling product categories and products to help plan inventory and meet demands.

Conclusion

• Target Customers: Married women aged 26-35 years from Uttar Pradesh, Maharashtra, and Karnataka, working in IT, Healthcare, and Aviation sectors.
• Top Product Categories: Food, Clothing, and Electronics are more likely to be purchased by the identified target customers.

Contact

• LinkedIn: Mohammad Haris
• Email: mohammadharis1516@gmail.com

Thank you for exploring this project!