Anurag Vimal

• Executed behavioral segmentation for EMEA clients and developed targeted marketing strategies to personalize engagement across 4 distinct segments, resulting in a ~15% lift in customer flows.

Leading data science team that provides measurable impact for clients

• Led the implementation of MMMs for clients in telecom, retail, and banking, optimizing full-funnel marketing campaigns to drive 7%-10% incremental sales
• Developed optimized budget allocation strategies by running various scenarios to maximize ROI across media channels, utilizing Robyn and Kinesso tools.

Propensity model for co-brand acquisition

• Built Random Forest model that identified best set of members for acquisition of co-brand cards which resulted in 10% increase in volume and 12% increase in average monthly spends

Predicting gender and age of viewers to enhance Ad sales

• Studied member engagement on app to predict gender with ~69% accuracy & age (multi class) with ~60% accuracy using Random Forest and Adboost resulting in 15% increase in Ad sales

Forecasting new business of all the sales channels

• Forecasted sales of all the business channels using time series forecasting technique –ARIMA which was automated in QlikView

Propensity model for cross-selling products

• Helped CRM team prioritize calls for cross-selling products by building predictive model that lead to an increase in conversions by 10%