• Designed and maintained over 10+ scalable data pipelines on PySpark and Google Cloud Platform (GCP), ensuring seamless data integration and transformation.• Optimized workflows by cleaning, transforming, and validating datasets of 10 million+ records, enhancing the accuracy of credit risk models.• Reduced query execution time by 30% through efficient SQL optimization and Python scripting for data-driven insights and reporting.

• Developed and implemented a dynamic alert prediction system using Generative AI, resulting in a 60% increase in alert accuracy.• Integrated the predictive model into the company's fraud detection system, leading to a 30% reduction in fraudulent activities.• Conducted comprehensive analysis of over 50 million transaction records at various checkpoints, including login and post-signup,providing valuable insights for improving security measures.