A Python scraper for Tokopedia that supports filtered product search, detailed product information, and customer reviews with accurate mobile pricing and Jupyter Notebook compatibility.

A Python notebook showcasing the use of Machine Learning for the task of bot detection, with an emphasis on e-commerce sites.

Project

This Jupyter Notebook implements Bayesian modeling techniques to fit a posterior distribution and forecast demand for an e-commerce company.

This project delves into e-commerce sales data analysis using a powerful combination of SQL and Python. It leverages Jupyter Notebook as the interactive development environment.

This is a pretty basic notebook made using machine learning techniques on the effect of pandemic on pandemic related products available on Amazon and Flipkart. This also features my dataset made for this project on Flipkart products.

An ELT data pipeline 🚚 for analyzing Brazilian e-commerce data. Processes CSVs and public API data using Python and Pandas, loads it into an SQLite database, and analyzes revenue/delivery metrics with SQL. Visualizations and the final report are created in a Jupyter Notebook.

A comprehensive analysis of Brazilian e-commerce sales (2016–2018) using Python and Power BI. The project explores customer behavior, sales trends, payments, and delivery performance. Featuring Jupyter notebooks and an interactive Power BI dashboard, it delivers actionable insights to optimize operations, improve logistics

This report showed how we looked into e-commerce operation from 4 aspects. Take online data for example, I compare the result of April's operation with March's by comparing key indicators. Unfortunately, because the business model is unknown, I could not dig deeper. The slides showed the take-aways and the jupyter notebook showed the whole code.