Manjunadh Ramachandrula

• ◦ Conducted pricing analysis across services and sub-services using statistical methods and historical trends, enabling data-driven pricing decisions and improved margin visibility.

• ◦ Designed and integrated an AI-powered customer support chatbot using NLP techniques, helping reduce manual support effort and improve query resolution efficiency.

• ◦ Developed recommendation engine models for add-on services, enhancing service personalization and cross-sell opportunities.

• ◦ Built role-based dashboards for Super Admin, Admin, and Customers using Power BI and KPIs, providing real-time visibility into operational and business performance.

• ◦ Performed data validation, regression testing, and KPI analysis to ensure data accuracy, consistency, and reliability for decision-making.

• ◦ Implemented and monitored end-to-end ML workflows on AWS using SageMaker, SNS, and CloudWatch for scalable deployments.

• ◦ Applied the CRISP-DM framework to healthcare datasets, including data preprocessing, feature engineering, and model evaluation, improving model reliability and interpretability.

• ◦ Developed REST APIs and analytical dashboards to expose models and track performance, enabling accessible and monitored deployments.

• ◦ Ensured data accuracy and delivered clinical and operational insights.

• ◦ Deployed and managed cloud-hosted applications on AWS EC2 and VPC, maintaining 99.9% application uptime.

• ◦ Conducted functional, usability, and performance testing to ensure stability and reliability of deployed applications.

• ◦ Deployed AI-based tools (text-to-audio/image) using AWS static websites.