Uttar Pradesh, India
Highly skilled Data Scientist with 5 years of experience designing, building, and deploying Machine Learning (ML) solutions across Recommendation Systems, Customer Lifetime Value, marketing and risk domains, which drives increment annual revenue yield in triple-digit $MM. Proven success in delivering interpretable, scalable, and real-time end-to-end ML-based models in the tune of $50MM. Skilled and interested in solving real-world problems using Data science, analytics, Machine learning, and Deep learning.
Developed and improved end-to-end auto-retraining Digital Personalization ML Models recommending offers across global Amex digital channels using XGBoost and CatBoost, improving offer relevance and engagement. Enhanced models by creating variables using NLP techniques and RNN architecture, achieving 5% improvement in Gini metric and 2% in MAP. Collaborated with Governance and Audit teams to review the entire model-building process and partnered with the technology team to scale and deploy the model for approximately 40 million card members.
• Developed an end-to-end ECM marketing model predicting avg payment for an account accepting a Balance Transfer offer. • Expanded balance transfer program to a newer credit card portfolio of 10MM customer base. • Maintaining and validating ECM ML models, performing annual model performance reviews showing results to concerning stakeholders. This will ensure continuous usage of models for business.