Analysis and prediction of the purchasing intention of the online store visitors using aggregated page view data along with session and user information.

An example study for handling sessionization and ingestion of clickstream data

Digital Marketing (web analytics and clickstream tracking) projects, and UX (research) projects.

This project focuses on analyzing Wikipedia's clickstream data to uncover patterns in how users navigate from one article to another. Utilizing Apache Spark and PySpark for data manipulation and analysis, the project aims to provide insights into user behavior on Wikipedia, including the most popular pathways to specific articles.

contains streamlit app of the corresponding dataset

Generate clickstreams through pages for specific amount of clicks.

Analysis On various aspects of clickstream data

Project

Examples of custom tables I created with SQL

identify segments of customers by geography using unsupervised learning

Emphasizes the focus on analyzing log files containing clickstream data

predictive model to output a list of features that influence whether or not a searching customer decides to purchase a product