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funnel-analysis

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Exploratory funnel drop analysis using Python and Pandas to understand user behavior across the e-commerce journey — from homepage to checkout. Focused on conversion optimization, cart abandonment, and revenue growth insights.

  • Updated Apr 22, 2026
  • Jupyter Notebook
stratif.io

Open-source warehouse-native product analytics for DuckDB, Snowflake, ClickHouse, Databricks, and Postgres. Funnels, retention, paths — directly on your warehouse, no ingestion pipeline, no per-event fees.

  • Updated Apr 30, 2026
  • TypeScript

The object of this project is to analyze website data with over 30,000 users and more than 1,188,124 pageviews to evaluate website performance and to understand product level performance. I use conversion funnel analysis to understand customer behavior in order to improve website traffic via different channels.

  • Updated Dec 30, 2023

End-to-end Product Analytics portfolio using SQL, Python, Excel, and BI. Features 6 real-world-style projects covering funnels, SaaS, user journeys, retention, revenue, Salesforce, experimentation, product insights, and business decision-making.

  • Updated Sep 12, 2026
  • Python

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