Datta A

Experience

1. Sr Machine Learning Engineer

   Barclays

   Jan 2024 — Present

   Created a Business Intelligence application that enables users to report a 10% increase in sales by utilizing a diverse array of AI-generated suggestions and diagrams that are derived from historical sales campaign data. • Developed and implemented automated pipelines in collaboration with teams to supervise, operate, and retrain Client Models for business applications. ETL pipelines were constructed for both new and existing models. • Implement end-to-end solutions for bulk and real-time machine learning algorithms, as well as the requisite logging, monitoring, automated testing, and performance testing tools. • Collaborate with groups of data scientists, data engineers, and other client engineers to develop and execute pipeline and model validation processes.• Developed the MLOps framework, which includes feature engineering, data preprocessing, data versioning, model, model evaluation, model versioning, batch inference, data validation, data drift detection, target drift detection, model performance monitoring, and automated notifications for model re.• Customization of search and browse recommendations for consumer profiles based on their intrinsic behavior.• Employed MLOps frameworks that included data preprocessing, data versioning, data drift detection, model evaluation, and model performance monitoring, as well as feature engineering.• Managed and developed CI/CD pipelines for machine learning projects using Terraform, Jenkins, and AWS CodePipeline, ensuring seamless integration and deployment.• Ensured performance, scalability, and cost efficiency by implementing Infrastructure as Code (IaC) principles using Terraform and CloudFormation to manage and optimize cloud infrastructure on AWS/GCP/Azure.