Customer Service It Support

PAVAN KUMAR REVANI

**************@*****.*** +1-410-***-****

OBJECTIVE:

Dedicated and highly motivated IT support professional with hands-on experience in technical assistance, troubleshooting, and customer service. Adept at diagnosing and resolving technical issues while maintaining a positive and professional demeanor. Strong problem-solving skills and ability to communicate effectively with users to ensure seamless technology operations. Committed to providing excellent customer service and technical support.

EDUCATION:

Masters in Cybersecurity – University of Maryland, Baltimore County CGPA - 4.0 / 4.0 Dec 2025 Bachelor of Technology in Computer Science – Teegala Krishna Reddy Engineering College CGPA- 3.0/4.0 Aug 2022

Board of Intermediate Education – Akshara Junior College Percentage:91% May 2018 State Board of Secondary Education – C.R.P.F Public School CGPA – 7.4 /10.0 May 2016 WORK EXPERIENCE:

Worked as an intern in network administrator in TCS as network administrator Jan 2023to Jan 2024

• Assisted in maintaining and monitoring the company's computer networks.

• Troubleshot network-related issues and supported IT teams in resolving connectivity problems.

• Managed user accounts, permissions, and network security protocols.

• Collaborated with senior network engineers on improving network efficiency. Worked as a math tutor at Narayana Techno School for 10th standards from Aug 2022 to Jan 2023

• Tutored 10th-grade students in mathematics, focusing on exam preparation and conceptual understanding.

• Simplified complex topics to enhance student comprehension and academic performance.

• Developed custom lesson plans to address individual student needs. TECHNICAL SKILLS:

Programming Languages : Python, C, C++, SQL.

Operating Systems : Windows, Mac, Linux, MacOS, Ubuntu, Kali, Fedora, Mint, Network Monitoring Tools : Wireshark, Nmap, Tcpdump. Password crack Tools : Wifite, John the ripper, Aircrack-ng, Hashcat, airodump-ng. Microsoft Office Suite : Excel, Word, PowerPoint, and Outlook Security Concepts : Firewalls, Intrusion Detection, Threat Analysis Cloud Technologies : AWS, Azure, or Google Cloud

Intrusion Detection Tools : Suricata.

CERTIFICATIONS:

CompTIA Security +.

Earned Computer Hardware Basics Badge on Cisco Networking Academy. Earned Introduction to Cybersecurity Badge on Cisco Networking Academy. Learn from Scratch in Ethical Hacking from Udemy.

CompTIA Linux + from ITProTV.

CompTIA A + Part -1 from ITProTV.

CompTIA A + Part -2 from ITProTV.

PAPER AND PUBLICATIONS:

Segmentation Technique for Images Using K-means Clustering (Internal Journal for Modern Trends in Science and Technology 2022 8(06), (pp.452-457) ACADEMIC PROJECTS:

Project Title: Ship Extraction Using CNN from High-Resolution Optical Remotely Sensed Images Description:

Developed a Convolutional Neural Network (CNN)-based model to automatically detect and extract ship objects from satellite or high-resolution optical images. The project involved identifying ship structures and enclosing them within boundaries for precise localization. This solution has potential applications in maritime surveillance, resource monitoring, and defense systems. Key Contributions: Processed satellite imagery to train the CNN model for accurate ship detection. Applied image preprocessing techniques to enhance detection accuracy and minimize false positives. Developed a boundary-drawing algorithm to clearly mark ships in complex marine environments. Project Title: Image Segmentation Using CNN

Description:

Worked on clustering pixels into distinct image regions using CNN to facilitate better image segmentation. The project focused on identifying individual objects, surfaces, or natural parts of objects in images. Applications of this project include object recognition, occlusion boundary estimation, and tasks related to image compression and editing. Key Contributions: Designed and implemented a CNN model that successfully segmented images into meaningful regions based on object boundaries. Improved segmentation accuracy by optimizing CNN layers and enhancing pixel clustering mechanisms.

Demonstrated applications in object recognition and motion/stereo systems. ADDITIONAL INFORMATION:

• Worked as coordinator in Shiznay at Teegala Krishna Reddy Engineering College in 2019 and 2022.

• Participated in Taekwondo Competitions at the South Interstate level.

• Participated in the Maths Olympiad at the School level.

• Participated in a School-level Basketball Competition and got 2nd prize.

• Active chess player with a rating of 1100 on chess.com, demonstrating analytical thinking, strategy development, and focus.

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