Turn Claude into a full-stack sales funnel architect. Build high-converting funnels with optimized UI/UX, page speed, mobile responsiveness, and deploy to any platform.

Main ABRouter product repository that contains docker-compose file and orchestrates the project containers.

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Data Mart As A Service

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.

Analysis of Metrocar, a ride-sharing platform akin to Uber, to detect funnel bottlenecks and offer solutions. Includes SQL funnel analysis, data trend exploration, Tableau visualizations, and Python sentiment analysis to understand the reasons for low review ratings.

'함께 성장하는 친구들' 유튜브 채널의 '데이터 분석, 이렇게 시작하자'와 관련된 자료를 제공합니다.

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.

Claude Code skills for expert-level UX audits, data-validated product diagnostics, ad creative review, AI slop detection, and clean document generation. 65+ UX laws, three-layer triangulation, anti-slop for code/text/design.

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.

This is a data analysis project using Looker Studio. It offers insights into the Google Merchandise Store's performance with pages for market analysis, cohort analysis, and funnel analytics. The project visualizes key metrics to inform strategic decisions.

Funnel drop-off & conversion analysis using SQL, Python & Tableau — insights to improve UPI transaction success rates

Marketing Funnel Analysis project using Excel. Identifies conversion rates, drop-off stages, and customer journey insights.

BA-style analysis built for Amazon's BA Intern role (Job ID 3100573) — revenue trends, customer RFM segmentation, delivery funnel & one-page recommendation brief. By Kavyanjali Karan | SOA University 2027

End-to-end data analyst focused e-commerce analytics project analyzing the impact of AI Search and Zero-Click behavior on conversion, revenue, and funnel performance using SQL, Python, and Tableau.

The analysis identifies key bottlenecks, variability in processes, and provides actionable recommendations to optimize operations.

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.

Metrocar is the final project of MS's Data Analyst course. By identifying user drop-offs, implementing dynamic pricing, and recognizing key user segments for targeted marketing, this project demonstrates my ability to enhance revenue and improve user experience.

Work sample code

Showcase of various projects that have been created during TuringCollege learning process 2022 -2023