🛍️ Retail Sales Analytics (2023) – EDA + Tableau Dashboard

This project showcases an end-to-end data analytics pipeline:

• 📥 Data Cleaning with Python
• 🔍 Exploratory Data Analysis (EDA)
• 📊 Interactive Dashboard using Tableau

---

📂 Project Breakdown

1. Data Cleaning & EDA (Python)

• Removed missing values, duplicates
• Standardized column formats
• Performed EDA on sales, profit, customers, region
• Visualized using Seaborn and Matplotlib

📄 Notebook: Retail_Sales_Analytics_EDA.ipynb

---

2. Interactive Dashboard (Tableau)

• Total Sales, Profit, Orders, and Customers
• Sales by Category, Region, and Customer
• Monthly sales & profit trends
• Filters by Year and Region
• Key insights generated with GenAI

📊 Tableau File: Retail Sales Dashboard - 2023.twbx
📸 Preview:

---

🧠 Key Insights

• Technology segment had highest sales but low profit margin.
• West region contributed the highest overall profit.
• November and December were peak performing months.

---

🛠️ Tools & Tech

• Python (Pandas, NumPy, Matplotlib, Seaborn)
• Tableau Public
• ChatGPT (for summarization & insight extraction)

---

📌 Outcome

This project demonstrates an end-to-end business data analysis pipeline — useful for dashboards, business intelligence, and stakeholder storytelling.

---

👤 Author: Madhu Sudhan
📫 LinkedIn