Ummadisetty Sandhya Rani

As a dedicated MLOps Engineer, I specialize in leveraging Azure services to deliver reliable and scalable machine learning solutions. My expertise lies in optimizing ML pipelines, automating workflows, and ensuring operational excellence. With a strong background in cloud platforms like Azure and AWS, I have successfully reduced model deployment time by 40% and enhanced ML pipeline efficiency by 30%.

In my current role at Capgemini Technologies LTD, I have designed and deployed scalable ML workflows on Azure Cloud, ensuring high availability and reliability. I have also automated CI/CD pipelines for seamless ML model deployment using Azure DevOps and optimized data preprocessing pipelines using Apache Spark and Azure Databricks. My collaborative efforts with cross-functional teams have significantly boosted operational efficiency and reduced deployment time.

Earlier in my career, I worked as a Data Engineer at JP Morgan Chase, where I built and managed data pipelines in Azure Data Factory. I also integrated machine learning solutions into production systems. My experience as a SQL Developer at TATA Consultancy Services involved developing stored procedures and transformation logic for student loan processing systems, ensuring accurate analytics through data cleansing. Additionally, I led multiple QA projects in the healthcare domain at Accenture Pvt Ltd, focusing on automation testing with Selenium to deliver high-quality solutions.