SANJEEV RAJ

Career Objective: Highly motivated and results-oriented IT Administrator with 8+ years of experience in a fast paced IT environment. Proven ability to manage, secure, and troubleshoot complex network infrastructures. Skilled in networking technologies, network monitoring, and incident response. Eager to learn and contribute to a dynamic team. Versatile system administrator proficient in hardware, software and security planning. Selects, installs, configures and manages components. Highly skilled in Windows and Linux with expert information security knowledge.

B. Tech (Computer Science Engineering) from Audisankara College of Engineering and Technology, Gudur affiliate to JNTU Anathapur.

• Managed and maintained a network environment for users, including desktops, laptops, servers, and network devices.
• Performed routine maintenance tasks such as software updates, system backups, and user account management.
• Troubleshooted and resolved a wide range of hardware and software issues in a timely and efficient manner.
• Implemented and configured network security measures, including firewalls and intrusion detection systems.
• Provided technical support to internal users via phone, email, and in-person assistance.
• Documented and maintained procedures for various IT processes and systems.
• Successfully migrated [Specific project, e.g., "company email system to Microsoft 365"] on time and within budget, minimizing downtime and ensuring user satisfaction
• Managed and maintained a complex network environment for users, including [List of devices, e.g., desktops, laptops, servers, network devices (routers, switches, firewalls)].
• Configured and maintained network devices, including routers, switches, firewalls, and wireless access points (WAPs).
• Implemented and administered network security measures, including firewall, intrusion detection systems (IDS), and access control lists

CUT DETECTION IN WIRELESS SENSORS NETWORKS, 3 Months, 4 members, Some pattern recognition learning methods and the models published in recent years. After giving the general description of pattern recognition, we discuss the Multi-Layer Perception algorithm for classification in pattern recognition. Lastly, the example describing the implementation of MLP. The objective of this paper is to summarize and compare some of the methods for pattern recognition, and future research issues which need to be resolved and investigated further are given along with the new trends and ideas.

I hereby declare that all the above-mentioned fact is true and if necessary, additional proof will be provided.