I developed a powerful Python-based stock data scraping and automation tool that collects, processes, and structures financial data from multiple sources.

This project demonstrates my expertise in web scraping, data extraction, and automation, delivering clean and usable datasets for analysis and business insights.
  
Key Features:

✔ Scraped financial reports from websites using BeautifulSoup
✔ Integrated yfinance API for real-time and historical stock market data
✔ Processed and structured data into Pandas DataFrames
✔ Cleaned datasets by handling missing values and inconsistencies
✔ Automated the entire workflow for efficiency and scalability

Tools & Technologies:
Python
BeautifulSoup
yfinance
Pandas
Data Cleaning & Processing

Use Cases:
Stock market analysis
Financial research
Investment data tracking
Business intelligence dashboards