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Mohammad Imran

PROFILE

Mohammad Imran

Mohammad Imran developed a centralized DataLayer architecture and robust Google Tag Manager integration for the EcomExperts-io/Base repository, enabling comprehensive e-commerce event tracking across product views, add-to-cart actions, and checkout flows. He implemented a flexible data layer using JavaScript, JSON schema, and Liquid, allowing for customizable event components and enhanced settings. The work included UI updates to the cart drawer, expanded event coverage, and improved error handling and data retrieval from the DOM. By consolidating data layer registrations and streamlining event handling, Mohammad delivered a maintainable solution that improved data accuracy, analytics readiness, and developer productivity for e-commerce tracking.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

11Total
Bugs
0
Commits
11
Features
1
Lines of code
6,138
Activity Months1

Work History

December 2025

11 Commits • 1 Features

Dec 1, 2025

December 2025 (2025-12): Delivered centralized DataLayer architecture and robust Google Tag Manager (GTM) integration for EcomExperts Base, enabling comprehensive e-commerce event tracking across product views, add-to-cart, item selection, cart updates, and checkout interactions. Implemented a flexible GTM data layer with customizable event components and enhanced settings schema, Liquid snippets, and UI updates to the cart drawer. Expanded event coverage to include CTA clicks, FAQ toggles, 404 errors, and out-of-stock views, plus support for view item lists, logins, and sign-ups, with improved data attributes and visibility controls. Improved error handling and data retrieval from the DOM, consolidated data layer registrations, and streamlined event handling for better maintainability. Replaced cart notification with a drawer in settings and added GTM options for tracking view_item and add_to_cart events. Overall, the month delivered substantial improvements in data accuracy, marketing analytics readiness, and developer productivity.

Activity

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Quality Metrics

Correctness96.4%
Maintainability81.8%
Architecture89.0%
Performance80.0%
AI Usage38.2%

Skills & Technologies

Programming Languages

JSONJavaScriptLiquid

Technical Skills

GTM integrationGoogle Tag ManagerJSON schemaJavaScriptLiquiddata layer managementeCommerce trackingevent trackingfront end developmentweb development

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

EcomExperts-io/Base

Dec 2025 Dec 2025
1 Month active

Languages Used

JSONJavaScriptLiquid

Technical Skills

GTM integrationGoogle Tag ManagerJSON schemaJavaScriptLiquiddata layer management

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