Business intelligence using web scraping, hidden APIs & data engineering.
Transform a basic scraper into a fault tolerant data pipeline that uses proxies to safely & systematically extracts structured data from large-scale e-commerce ecosystems. Learn how to implement proxy rotation, resilience patterns, and observability to keep scrapers running under pressure while maintaining high success rates.
Read More→How hosting downtime became an opportunity to build something better.
When my WordPress hosting went down, I faced a choice: find new hosting or build something custom. Using AI as a development partner, I built a modern CMS with Next.js and FastAPI. The result? Free hosting, better performance, and complete control over every aspect of the system.
Read More→Use Machine learning + meteorological data to predict eCommerce sales.
Use regression analysis on past sales data to forecast future seasonal trends. Combine this with historical weather patterns to identify environmental triggers—such as temperature changes or rainfall—that signal the start of a sales season. This enables smarter planning, timely marketing, and improved inventory decisions based on data-driven insights.
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