Python-Data-Automation

Automates data collection, cleaning, and reporting using Python. Simplifies repetitive tasks and accelerates workflow efficiency across projects.

🐍 Python Data Analysis & Automation

📌 Project Overview

This project focuses on using Python (Pandas & NumPy) to automate data analysis workflows.
It reduces repetitive manual reporting and ensures accuracy across datasets.

🎯 Objectives

• Automate reporting workflows.
• Perform data cleaning and transformation.
• Improve reporting accuracy and reduce manual effort.

⚙️ Tools & Techniques

• Python (Pandas, NumPy, Matplotlib/Seaborn)
• Data Cleaning & Manipulation
• Automation Scripts

🚀 Key Outcomes

• Reduced manual reporting time by 40%.
• Improved data quality and consistency.
• Delivered reusable Python scripts for reporting tasks.