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.

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Projeto de clusterização de dados de e-commerce utilizando K-Means e DBSCAN para segmentar clientes e produtos.

woocommerce scraper for ecommerce data

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.

A data-driven analysis project focused on identifying e-commerce revenue leakage and developing customer retention strategies using Python and SQl.

rarebeauty cosmetic product scraper

KPrepublic product data scraper

Paynes Gray product data scraper

mazen product data extractor

Sears product data scraper

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.

bershka product data extractor

Zensah apparel product scraper

Performed exploratory data analysis on a cleaned e-commerce orders dataset using Microsoft Excel. Computed key statistics including count, mean, median, minimum, and maximum across total price and unit price columns to uncover patterns and summarize the dataset's numerical distribution.

Amazon product data scraper

Original research dataset by PerfumeM. Most-searched fragrance in every US state, 12-month Google Trends analysis across 30 top fragrances. CC BY 4.0.