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Senior Data Scientist @GE HealthCare
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WORK HISTORY
Senior Data Scientist @GE HealthCare
US
Developed production-grade ML models for healthcare applications, optimizing scheduling usingApache Spark ML on AWS SageMaker. Built and deployed ML pipelines using Airflow,Terraform, and Kubernetes (GKE, EKS) to enable scalable and cost-efficient ML operations.• Designed and deployed AI-powered recommendation engines using AWS SageMaker improvingtreatment recommendations for healthcare professionals. Containerized ML models using Dockerand Kubernetes (GKE, EKS), enabling scalable deployment. Automated model retraining and driftdetection with MLflow and Vertex AI Pipelines.• Led the creation of real-time data pipelines using AWS Kinesis for processing patient data,enhancing operational efficiency.• Integrated machine learning models into production systems, enabling automated decision-making inclinical environments.• Conducted time series forecasting to predict healthcare trends, aiding in resource allocation andoperational planning.
EDUCATION
Gokaraju Rangaraju Institute of Engineering and Technology
Bachelor's degree, Information Technology
University of North Texas
Information systems, Masters
ABOUT SAKETH REDDY
GE HealthCare leverages advanced machine learning expertise to optimize healthcare operations and enhance patient outcomes. Collaborated on deploying scalable ML pipelines using Airflow, Terraform, and Kubernetes, while automating model retraining and drift detection with MLflow and Vertex AI Pipelines. Developed AI-powered recommendation engines on AWS SageMaker to support treatment decisions and improve operational efficiency. Currently pursuing a Master’s in Information Systems at the University of North Texas, with a strong foundation in data science and cloud computing. Passionate about leveraging AI and MLOps to drive innovation, scalability, and efficiency in healthcare applications. Dedicated to building impactful solutions that bridge technology and patient care.
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