As a recent graduate from Cedlearn Institute with a focus on data science, I am eager to apply my knowledge and skills in a real-world setting. Throughout my training, I gained hands-on experience with various data science tools and techniques, including Python, TensorFlow, and machine learning algorithms.I have a solid foundation in statistical analysis, data visualization, and predictive modeling. I thrive on solving complex problems and have a keen interest in uncovering insights from data to drive strategic decision-making.I am passionate about continuous learning and staying updated with the latest advancements in the field. I am looking forward to starting my career in data science and contributing to impactful projects in a dynamic and innovative environment.Feel free to connect with me to discuss opportunities, collaborations, or just to share insights on the latest trends in data science and machine learning."Previously worked in DXC TECHNOLOGYExperience on Azure Virtual Machines, Azure Backup, Azure Active Directory and Azure Site Recovery Worked on SNOW and Service Manager, Basic knowledge on windows/UNIX.Professional ExperienceClient: POINT OF DELIVERYCompany: DXC TECHNOLOGY, Chennai Job Role: Azure L1-Engineer1. Deployment of virtual machines as per the requirement of client2. Managing Azure infrastructure to meet customer business needs related to storage, networking, etc.3. Monitoring the uptime and downtime of Virtual Machines4. Performing patching activity to updates the Virtual machines with automation as well as manually.5. Ability to configure VMs through Azure web portal and command line interface through power shell6. Performed Incident Management like Analysis of incidents, matching with known error, referencing to known workarounds if any, and provide first line fix.7. As part of incident management, liaise with relevant IT Team to close any Hardware or network related issues8. Performed daily checklist, tasks, day to day operation calls to be performed by the resources9. Monitoring, assigning and resolving incidents are done in every shift rotation and never missed any SLA tickets.10. Supported many customers like DOWNER, KAEFER, KRAFT, MANULIFE, BULLA, etc.., through Azure web portals