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Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning

By the end of the consulting engagement, the team had implemented the following architecture that effectively addressed the core requirements of the customer team, including: Code Sharing – SageMaker notebooks enable data scientists to experiment and share code with other team members.

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Automated exploratory data analysis and model operationalization framework with a human in the loop

AWS Machine Learning

Create a healthcare folder in the bucket you named via your AWS CDK script. Shikhar aids in architecting, building, and maintaining cost-efficient, scalable cloud environments for organizations and supports GSI partners in building strategic industry solutions on AWS. His focus area is on data and analytics.