A comprehensive guide to building a functional web crawler in exactly 100 lines of Python code, covering URL success handling, depth thresholds, and data storage.

A comprehensive analysis of 160,000 visitor clickstreams using Python. This project evaluates marketing campaign performance by calculating conversion, drop-out, and bounce rates across different traffic sources and platforms.

An independent project using Python and k-Means clustering to classify over 10,000 FIFA 23 players into distinct performance segments based on Kaggle data.

A data-driven analysis of Companies House records to identify emerging UK tech hubs outside of London. This project uses custom API scraping and SIC code filtering to rank cities by tech firm density and growth.