Manager - Data Science - IT

- Job Opening for Manager-Data Science with US based IT Company for Bangalore/Pune Location

- Developed production deployable attributes for account aggregation level (balance and transaction)

- Fraud Analytics: Developed custom fraud score model and decision rules using vendor data for Fraud risk separation to optimize the application review cost

- Created and validated attributes for telecom team to check any significant lift in model performance.

- Built ML Fraud analytics model, for a multinational investment bank and financial services company, which can replace the traditional rule-based third party outsourced model for detecting fraud

- Feature Engineering: Created new feature from existing data-sets to enhance the model performance for predicting fraudulent transaction and documented the logic for new features for team

- Pattern Analysis: Performed data visualization to identify pattern in fraud and non-fraud transaction.

- Churn Prediction: Built a churn prediction model for a financial service company to predict the likelihood of churn for bank customers by classification model and derive retention strategies, by performing RootCause-Analysis(RCA)