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

Python package to model clickstream data as a Markov chain. Inspired by R package clickstream.

Clickstream Faker Provider for Python.

End-to-end ecommerce clickstream analytics using DuckDB and SQL

Store Segment events from S3 files to Data Warehouse

AWS Solutions Architect portfolio delivering end-to-end, Python-first serverless reference architectures (event-driven APIs, data pipelines, and IoT ingestion) with security-by-default controls and FinOps cost visibility built in.

Real-time Kafka clickstream pipeline with sessionization, consumer groups, PostgreSQL, and Docker.

Clickstream service

Provide the basic functions and operators to build an application for click or tap stream analytic

AWS serverless Python ETL (S3 → Lambda → S3) that attributes purchase revenue to external search keywords (last touch) from Adobe Analytics hit level TSV logs and writes a daily keyword revenue report.

UX and product analytics project diagnosing ecommerce funnel drop-offs from real clickstream data.

End-to-end real-time streaming pipeline for e-commerce events.

Production-grade real-time streaming pipeline using Apache Kafka and Apache Flink to simulate real-world streaming workflows.

Agentic on-call analyst for live-stream incidents: bounded planning-loop agent over a governed semantic layer, evidence-cited RCA memos, root-cause accuracy measured against injected ground truth

Azure Product Growth Intelligence Platform — local-first product analytics, ML, experimentation, recommendations, GenAI-style insights and Power BI-ready reporting.

Generate clickstreams through pages for specific amount of clicks.