With 9+ years of experience as a Data Science & MLOps Engineer, I have successfully worked on projects in Healthcare, Retail, and Insurance sectors. Expertise in collecting, analyzing, and interpreting datasets for valuable insights. Strong background in analyzing, validating, and evaluating machine learning models. Hands-on experience deploying models on AWS and GCP. Proficient in scaling ML models and implementing reproducible MLOps pipelines on cloud platforms like AWS and GCP. Highly skilled in writing production-grade Python code and creating Infrastructure as Code (IaC) using CloudFormation/CDK for various AWS resources including IAM, Lambda Functions, Code Pipeline, Load Balancers, S3 DynamoDB, ECR, and EKS.