🎇 Diwali Sales Analysis

📊 A data analytics project that uncovers Diwali sales patterns, helping businesses improve marketing strategies, optimize inventory, and enhance customer satisfaction.

📊 Project Overview

📌 Problem Statement

During festive seasons like Diwali, businesses often struggle to target the right customers and manage inventory effectively.
This project analyzes sales data to answer:

• Who are the key customers?
• Which products sell the most?
• How can businesses improve strategies for future sales?

🛠️ Tools Used

• 🐍 Python 3.8+
• 📓 Jupyter Notebook
• 🐼 Pandas for data manipulation
• 📊 Matplotlib & Seaborn for data visualization
• 🔢 NumPy for numerical analysis

📂 Dataset

• 📄 File: diwali_sales_data.csv.
• 👥 Details: Customer demographics (age, gender, state, occupation) and purchase information.
• 🔎 Source: Collected for analysis of Diwali sales trends.
• 📌 Purpose: Identify customer behavior, product popularity, and sales trends.

🏆 Outcome

• 👩‍🦰 Women aged 26–35 were the highest spenders.
• 🏠 Customers from Uttar Pradesh, Maharashtra, and Karnataka were most active.
• 🛍️ Identified best-selling products & categories.
• 📈 Provided actionable insights for targeted marketing and inventory planning.

📂 Repository Structure

• Diwali_sales_analysis.ipynb → Jupyter Notebook with full analysis
• Diwali Sales Data.csv → Dataset used
• Diwali Sales Analysis[1].pdf → Project Presentation
• RATHOD KOMAL HASMUKHBHAI_FC.pdf → Certificate of Completion
• Requirements.txt → Python libraries required

🔎 Exploratory Data Analysis (EDA):

• Demographics: Women (26–35 years) from Uttar Pradesh, Maharashtra, and Karnataka are most likely to purchase.
• Top Products: Specific categories show higher sales volumes.
• Customer Segmentation: Gender, age, and state-based insights help in targeted marketing.

📸 Sample Visualizations

🚀 Future Enhancements

• 🔮 Predictive Modeling: Forecast future sales trends using ML
• 🧩 Advanced Customer Segmentation: Cluster customers for hyper-targeted marketing
• 📊 Real-Time Dashboards: Live updates for continuous decision-making

🏅 Certificate

This project was successfully completed under the Code Unnati Program.

📬 Contact

• If you’d like to connect or collaborate, feel free to reach out:
  • 💼 LinkedIn: Komal Rathod
  • 📧 Email: komalr2006@gmail.com

✨ If you find this project helpful, please give it a ⭐ on GitHub!