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Household Transaction Data Analysis

📌 Project Overview

Analysis of household financial transactions to identify spending patterns, budget optimization opportunities, and behavioral trends. This project helps households understand their financial health and provides data-driven recommendations for smarter money management.

📊 Key Objectives

  1. Identify top spending categories
  2. Analyze monthly/seasonal spending trends
  3. Detect unusual transactions or potential fraud
  4. Visualize income vs. expenditure patterns

🛠 Tools & Technologies

  • Python: Pandas, NumPy (Data Cleaning & Analysis)
  • Visualization: Matplotlib,
  • Notebook: Jupyter Lab