I developed a high-performance Python automation tool designed to scrape, process, and visualize real-time market data. This project solves the challenge of manual data collection by using BeautifulSoup and Requests to extract complex information directly from the web into structured formats.
After extraction, I used the Pandas library for extensive data cleaning, including handling missing values and standardizing global data entries. The final phase involved Exploratory Data Analysis (EDA) to generate actionable business insights, such as:
Identifying the Top 20 most in-demand skills in the tech industry.
Calculating the Average Hourly Rates across different countries to assist in competitive pricing strategies.