Naresh Kadali Email & Phone Number

Bengaluru, Ka, In

Bengaluru, Karnataka, India

Project Team Lead & Cloud Lead | BirlasoftRole Overview: Led a project team as a Cloud Lead, overseeing the migration of on-premises infrastructure to Google Cloud Platform (GCP).Key Responsibilities:Managed the end-to-end cloud migration process, ensuring a smooth transition from on-premises to GCP.Optimized infrastructure costs by implementing cost-saving strategies and efficient resource allocation.Managed billing operations to maintain budget control and improve cost efficiency.Collaborated with cross-functional teams to design, implement, and maintain cloud architecture that meets business requirements.Enhanced operational efficiency through proactive monitoring, troubleshooting, and performance tuning of cloud resources.Managed relationships with client vendors and application teams, meticulously tracking migration progress, addressing infrastructure-related issues, and ensuring smooth transition and integration.Demonstrated strong leadership and technical skills by conducting organizational administrative activities and overseeing critical cloud operations for Bestseller, contributing to project success and operational excellence.

Hyderabad, Telangana, India

Role: Generalist and Team LeadDirectly reported to Vice President Raghavan Madabhushi , assisting in acquiring new projects for the organization.Created multiple Proof of Concepts (POCs) to support strategic decision-making and demonstrate innovative solutions, enhancing the organization's project acquisition capabilities.Collaborated closely with senior leadership, gaining valuable insights and industry knowledge.Had the opportunity to work with the IBM Cloud Core Development team, contributing to the development of IBM Cloud automation script.

Bengaluru Area, India

Application Developer (Cloud Administrator )- McAfee (via Tresbu)Collaborated with the Cloud and R&D teams at McAfee, providing cloud administration support and expertise.Actively participated in various initiatives, including a Hackathon at McAfee, showcasing innovative problem-solving skills and contributing to team projects.Managed cloud infrastructure, ensuring optimal performance, security, and compliance with industry standards.Worked closely with cross-functional teams to streamline cloud operations and support R&D efforts in developing cutting-edge solutions.

Bengaluru

As a data scientist my chief responsibility is data analysis, a process that begins with data collection and ends withbusiness decisions made on the basis of my final data analytics results. And main objective is to organize and analyzelarge amounts of data, often using software specifically designed for the task.The final results of analysis needs to be easy enough for all invested stakeholders to understand, especially those workingoutside of IT.I am analyze the data , often called big data, draws from a number of sources. There are two types of data that fall under theumbrella of big data: structured data and unstructured data. Structured data is organized, typically by categories that make iteasy for a computer to sort, read and organize automatically. This includes data collected by services, products andelectronic devices, but rarely data collected from human input. Website traffic data, sales figures, bank accounts or GPScoordinates collected by smartphone — these are structured forms of data.Unstructured data, the fastest growing form of big data, is more likely to come from human input — customer reviews,emails, videos, social media posts, etc. This data is typically more difficult to sort through and less efficient to manage withtechnology. Because it isn’t streamlined, unstructured data can require a big investment to manage.Businesses typically rely on keywords to make sense of unstructured data as a way to pull out relevant data using searchableterms.Typically, businesses employ I am to handle this unstructured data, whereas other IT personnel will be responsible formanaging and maintaining structured data. I am likely deal with plenty of structured data in their careers, but businesses areincreasingly wanting to leverage unstructured data in service of their revenue goals, making approaches to unstructured datakey to the data scientist role.

Hyderabad Area, India

Hyderabad Area, India

Hyderabad Area, India