2020 - 2025
Bachelor of Science in Computer Science and Information Technology
College of Applied Business & Technology, Tribhuvan University
#!/bin/bashname="Subodh Shrestha"skills=("Cybersecurity" "Network Security" "Wireshark" "Nmap" "Snort" "Python" "Linux" "Docker" "PRTG" "Malware Analysis" "Forensics")hardWorker=truequickLearner=trueproblemSolver=truehireable() {if [[ "$hardWorker" == true &&"$problemSolver" == true &&${#skills[@] -ge 5 ]]; thenreturn 0 # trueelsereturn 1 # false}© Portfolio by Subodh Shrestha
Who I am?
Cybersecurity professional with proven SOC operations experience in threat detection, SIEM management and incident response. Engineered production detection rules and reduced false positives through analytical tuning. Proficient in ElastAlert, ELK Stack, network security monitoring and digital forensics. Strong foundation in network infrastructure and secure systems architecture enables comprehensive approach to threat detection and security operations. Certified in CyberOps Associate (Cisco), CSI Linux Certified Investigator, and Junior Cybersecurity Analyst (Cisco) with hands-on expertise in security monitoring, incident response, penetration testing and forensic investigations.

Image Forgery Detection
constproject={name:'Image Forgery Detection',tools: ['Python', 'Cryptography', 'Digital Signatures', 'Perceptual Hashing],myRole:Team Project,Description: Designed a system to detect image forgery using digital signatures (ed25519) and perceptual hashing. Implemented cryptographic techniques to ensure data integrity and detect manipulation.,};Robo-Soccer Bots
constproject={name:'Robo-Soccer Bots',tools: ['Arduino', 'C++', 'Bluetooth', 'Hardware Programming],myRole:Team Project,Description: Built Robo-Soccer bots using Arduino-Uno and Monster-Moto Driver. Enhanced bot responsiveness via Bluetooth control and Flysky remote systems.,};Traffic Sign Classification
constproject={name:'Traffic Sign Classification',tools: ['Python', 'Keras', 'TensorFlow', 'CNN', 'Machine Learning],myRole:Team Project,Description: Created a user-friendly interface for traffic sign recognition. Designed a traffic sign recognition system using convolutional neural networks (CNNs) and Keras.,};2020 - 2025
Bachelor of Science in Computer Science and Information Technology
College of Applied Business & Technology, Tribhuvan University
2018 - 2020
High School (Science)
Southwestern State College
Issued by: Cisco
Security monitoring, threat detection and incident response
Issued by: CSI Linux
Digital forensics and evidence acquisition
Issued by: Cisco
Threat Detection, Incident Response, Network Security and Cyber Defense Tools