Machine Learning Projects

Healthcare Solutions

Life Sciences Solutions

Cloud Migrations

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DevOps

Machine Learning Projects

Project 1: Healthcare Insurance Cost Prediction

Project 2: Breast Cancer Predictions with Supervised Learning Classifications

Project 3: Heart Disease Detection Project

Project 4: Secure Healthcare Data Pipeline on AWS

Project 5: Patient Risk Prediction Model

Project 6: NLP for Clinical Notes

Project 7: Medical Image Analysis (CNN-based)

Project 8: Clinical Forecasting System

Project 9: ML Model Monitoring and Retraining Pipeline

Project 10: Loan Default Detection

Project 11: Job Resume Ranker

Project 12: Sales Forecasting of a Well-known Brand in Australia

Project 13: Employee Turnover Analytics

Project 14: Creating Cohorts of Songs

AWS Cloud Migration Projects

Project 1: Lift and Shift (Rehosting)
Moving applications and databases to the cloud without making significant changes to the architecture or code.

Project 2: Refactoring/Re-architecting
Modifying the architecture and code of applications to take full advantage of cloud capabilities and services.

Project 3: Replatforming
Moving from a self-managed database to a managed database service on AWS (Amazon RDS or other databases).

Project 4: Repurchasing
Replacing existing applications with cloud-native solutions, often through a SaaS model.

Project 5: Retiring
Decommissioning applications that are no longer needed.

Project 6: Retaining
Keeping some applications on-premises, often because they are not suitable for the cloud or need to be kept on-premises for regulatory or operational reasons.

Project 7: Terraform (IAC)
Creating Infrastructure as Code (IAC) solutions for AWS infrastructures.