Nikhil Udayan

Propensity Modeling & Campaign Analytics

• Developed 80+ ensemble-based propensity models for clients and streamlined the propensity scoring process through automation, improving efficiency and consistency.
• Segmented customers using propensity scores to enable targeted campaigns.
• Performed campaign impact analysis with behavioral matching & A/B testing, generating uplift scores.
• Delivered performance insights to optimize campaigns and support data-driven decisions.

Product Analytics & Automation

• Automated monthly KPI dashboards & PPTs via a unified pipeline, cutting 8–9 hours of manual work.
• Developed KNN-based recommender system to identify upsell opportunities.
• Created rule-based engine to optimize report-selling strategies, enhancing revenue potential.

Fraud & Approval Analytics

• Analyzed approval rates, decline reasons, and fraud patterns, with benchmarking across industry, country, and regional KPIs using ML techniques.
• Delivered data-driven insights and developed a fraud prediction model to optimize approvals and reduce fraud risk.

Product Launch & Marketing Analytics

• Conducted over 100+ market surveys to assess competitor strategies and enhance marketing effectiveness by 15%.
• Developed predictive sales models, optimizing demand forecasting and supply chain planning.
• Utilized data analytics and competitive research to drive strategic marketing initiatives.