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Web scraper for collecting product and review data from e-commerce sites using Scraping Bee, AWS, Selenium, and Pandas. Focuses on cost-effective solutions, user-friendly interfaces, and efficient data extraction and analysis.
Proyek ini bertujuan untuk menganalisis perilaku pelanggan dan tren penjualan pada dataset E-Commerce Olist di Brasil. Selain itu, saya menggunakan teknik RFM Analysis dan K-Means Clustering, untuk mengidentifikasi segmen pelanggan utama agar dapat memberikan rekomendasi strategi pemasaran yang dipersonalisasi.
This project is an in-depth analysis of eCommerce data using PySpark for big data processing. It focuses on understanding customer behavior, sales trends, and providing valuable insights for business strategies.