E-Commerce

Feature Analysis

Project by Sirajuddin Mohammed

Feature Analysis project illustration

The business problem and approach

Conducted a comprehensive feature analysis to pinpoint the most impactful variables driving sales conversion on an eCommerce platform. Leveraged advanced modeling to deliver actionable insights, empowering the sales team to focus on high-impact areas for maximizing conversions and customer engagement.

Implementation highlights

Delivered insights enabling the sales team to refine marketing and sales strategies, Built classification models, analyzing variable significance to target key conversion drivers, Identified top features influencing purchase behavior

Delivery and outcomes

28% lift in campaign performance targeting high-impact features, 12% reduction in customer drop-off during purchase funnel

Technologies used

  • Python
  • Machine Learning
  • SQL
  • Tableau
  • Linear Regression
  • OLS

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