Senior Analyst - Marketing Analytics - Banking

Sr Analyst- Marketing Analytics(Banking)

- Credit card Activation Probability model, using XGboost Classifier to Focus campaign on the Customers with Higher LTV, Credit card propensity model to predict probability of sell using Random Forest/Logistic Regression

- Risk Score Card: Developed and Validated multiple ML based Risk Application Score model for Existing customer , Developed Appographic score card based on app installed on customer mobile

- Risk Strategy Formation and Exploring new customer segment for Business Expansion and running Test programs & Strategic Experiments

- Conducted data driven Market Research & Competitor Analysis to identify business opportunities and formulate

Strategic Recommendations:

- Business Strategy : Strategize & tested Business plan to maintain Sales conversion ratio-Risk Exposure to two different Joint venture in Credit card Business that operate on same target customers

- Developed a Classification model of Prospect Customers into Salaried and Self-Employed using Random forest, XGboost

- Developed Credit card churn model using Stacking of Machine Learning/Deep Learning techniques to help customer retention

- Text Mining: SQL and Python Based Algorithm for Multiple Business requirements (salary prediction, PAN, Mobile No cleaning), Exploring Portfolio performance based on TTD variables and taking actions

- Graduate/ PG with 2-13 yrs of experience in Application Scorecard

- Digital Analytics

- Campaign Analytics

- Strong Python/R programming

- AWS Cloud / Redshift/ Airflow

- Team management