yashaswi kakumanu

• Currently leading the development of time series models to optimize sales predictions for specific PepsiCo products.
• Spearheading the deployment of machine learning models to production, ensuring seamless integration into the existing infrastructure.
• Collaborating closely with cross-functional teams to define requirements and deliver high-quality solutions for sales optimization.Domain - CPG

• Spearheaded team of 4 to successfully onboard and deploy machine learning models developed on platforms such as h2o.ai, DataRobot, and R onto AWS SageMaker, resulting in improved model performance and operational efficiency.
• Dockerized native model artifacts, enabling batch transformations and monitoring via AWS SageMaker pipeline.
• Efficiently managed infrastructure setup across dev and production accounts with Terraform and Azure pipelines.
• Conducted comprehensive vulnerability scans to ensure data security and compliance with client requirements.
• Implemented a financial prospect recognition system, resulting in a 40% cost reduction for the client.Domain-Insurance

• Orchestrated end-to-end model building, monitoring, CI/CD pipeline, and scalable models on AWS SageMaker, improving overall development efficiency.
• Engaged in agile pipeline deployment via Scrum process with 1-week sprints, ensuring prompt delivery and efficient team collaboration.
• Developed custom Sagemaker preprocessors, Estimators, and Docker estimator images for building pipelines using Sagemaker workflows. Orchestrated the entire pipeline using AWS Step Functions, enhancing the workflow automation.
• Designed and deployed a production-level scalable MVP platform for underwriters, reducing processing time from 2 weeks to just 5 minutes.Domain-Insurance