Python toolkit, MCP server, and agent skills for reproducible, auditable clickstream and event log analytics. Helps AI agents, data scientists and analysts build, validate, and cross-check product analytics, quantitative UX, customer journeys, graph-based user flows, behavioral segmentation, A/B tests, process mining models, Markov chain simulation

A big data student performance analytics system using PySpark, Docker, and Streamlit to process millions of interaction logs, calculate engagement metrics, and predict academic risk.

Clickstream Analysis - Data Science & Analytics project in AI / ML / GenAI for CSEProjects360 final year project catalog.

An end-to-end data engineering project tackling a real business problem: identifying the root cause of a 35% conversion rate drop for a fictional electronics retailer