Prospect Identification

The business problem and approach

Built a robust prospect identification solution using clickstream and browsing pattern analysis to predict high- and low-value potential customers. Seamlessly integrated predictive models into data infrastructure, delivering targeted insights for sales and marketing teams.

Implementation highlights

Developed a classification model to map browsing behavior with high-value customer profiles, Addressed class imbalance for improved accuracy and recall, Delivered actionable insights through Tableau visualizations and SQL/Hue deployment

Delivery and outcomes

25% increase in high-value prospect identification rate, 20% improvement in model recall for lead scoring

Technologies used

• Python
• SQL
• Hive
• Tableau

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