📈 Sales Data & Revenue Analyzer

🎯 The Goal

As an Account Manager, I deal with messy client data every day. I built this script to automate the "boring stuff"—cleaning duplicate entries and calculating total revenue from closed deals—so I can focus on strategy.

🛠 Tech Used

• Python 3
• Pandas Library: Used for data manipulation and cleaning.
• Matplotlib.pylot Library: Used for lotting bar chart and heatmap

🚀 How it Works

1. Data Ingestion: Simulates a raw export from a CRM.
2. Deduplication: Automatically identifies and removes duplicate customer entries.
3. Logic: Filters the data to sum up 'Closed' deals while ignoring 'Pending' ones.
4. Reporting: Prints a clean summary to the console.

🧠 What I Learned

• How to handle DataFrames (the foundation of AI data).
• The importance of data cleaning before analysis.
• How to use f-strings for professional reporting.

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This is my first step into bridging the gap between Sales and Data Science!