Consultant

P2C3STSPipeline Automation Build automated workflows for data ingestion, model training, testing, and deployment.Model Deployment Package and release models into production using containers like Docker and Kubernetes.Version Control Track data, code, and model artifacts to ensure complete reproducibility.Monitoring & Maintenance Track live performance metrics and detect data or concept drift.Cross-Functional Collaboration Bridge the gap between data scientists, software developers, and IT operations. Python Docker, Kubernetes DVC, MLFlow AWS, GCP CI/CD Jira, Rally