A collaborative IT professional with rich experience in the US healthcare & Telecom domain(OSS). Have worked on end-to-end implementation of Machine learning use cases from ideating to productionizing algorithms in healthcare domains in data analytics and have a good understanding of analytics of the Telecom domain too.In Ericsson, Telecom domain Used BusinessObjects, Power BI and NetAn Spot fire tool to enhance decision-making, and drive business growth, and help to integrate with Ericsson's network management systems to visualize the data effectively and analyze network performance data in real-time and also help to prepare the Capacity planning, product performance analysis.Having good exposure as a Business Analyst to complex business and understanding the functional requirements helping the team to create Business scenarios & test cases for Automation Testing.Experience in Data Science and Analytics having strong hands-on experience in Machine Learning with Python, Statistical Analysis, and SQL databases. Good amount of experience and knowledge in data analysis, data mining, and predictive modeling especially in Supervised and Unsupervised algorithms for US Healthcare and telecom networks transforming various business and complex system data into relevant information by using mathematical and statistical techniques, monitoring the model performance, reviewing of technical and conceptual soundness of models, finding issues. As a Solution Architect to solve business challenges, Providing Solutions to the Business and a Proven track record of creating significant measurable business impact for clients. Knowledge in MS Azure Cloud in the design and Architecture of the application Infrastructure, in an internal project using Azure as a cloud platform and deployed and managed containerized applications using Docker and orchestration tools such as Kubernetes for scalability and high availability.