Integrated B.Tech – M.Tech (Cyber Security)
National Forensic Sciences University, Delhi Campus
P.G. Certification in FinTech
NISM & NAL Academy
I am a pre-final year Cyber Security and Digital Forensics student at the National Forensic Sciences University (NFSU), Delhi Campus, with a strong interest in cybersecurity, digital forensics, financial crime prevention, and emerging technologies. My academic journey and practical experiences have enabled me to work on projects involving threat intelligence, digital investigations, fraud detection, and cybersecurity research. Beyond academics, I actively contribute to technical communities, participate in cybersecurity events, and continuously explore new technologies that strengthen digital trust and security. I enjoy solving complex problems, learning through hands-on projects, and applying technology to address real-world challenges. Outside of technology, I am an avid badminton player and trekking enthusiast. Badminton has taught me discipline, focus, and teamwork, while trekking has strengthened my resilience, adaptability, and appreciation for new experiences. These pursuits complement my professional journey by fostering perseverance, curiosity, and a growth-oriented mindset.
Computer Science Engineering (Cyber Security)
National Forensic Sciences University, Delhi Campus
Current PPI: 7.88 | Last SPI: 9.15
NISM & NAL Academy
• Working on Identity & Access Management (IAM) configurations, Identity Governance & Administration (IGA), Privileged Access Management (PAM), and enterprise access management processes across multiple business applications.
• Gaining hands-on experience with leading IAM platforms including SailPoint IdentityIQ, Saviynt, and CyberArk while supporting user lifecycle management, access provisioning, role management, and identity governance initiatives.
• Conducted dark web monitoring and intelligence analysis across darknet marketplaces and underground forums to identify criminal activities including money laundering, drug trafficking, smuggling, illegal arms trade, and other emerging cyber threats.
• Developed and maintained an intelligence database to correlate dark web findings related to financial crimes and crimes against children and women, enabling efficient case tracking, investigative analysis, and actionable threat intelligence reporting.
• Performed threat landscape analysis to identify potential cybersecurity risks, contributed to incident response planning, and reviewed security policies to strengthen organizational security posture.
• Supported cybersecurity awareness initiatives by developing security awareness campaigns and promoting best practices across multiple cybersecurity domains, contributing to improved cyber resilience.
• Conducted research in smartwatch forensics, studying forensic acquisition techniques, security architecture, and digital evidence extraction from wearable devices.
• Explored security patches, firmware updates, and vulnerability trends across smartwatches from leading global manufacturers to understand evolving wearable security challenges.
• Worked extensively with NBFTools' in-house digital forensic solutions for evidence acquisition, forensic examination, and data analysis across multiple investigation scenarios.
• Assisted investigation teams by performing forensic data analysis, supporting digital investigations, and contributing to evidence processing using industry-oriented forensic methodologies.
Developed a real-time fraud detection dashboard for UPI transactions using Python, Streamlit, and SQLite to identify suspicious payment patterns.
Implemented rule-based risk scoring, interactive analytics, and transaction monitoring to simulate fraud detection in digital payment systems.
Developing a Cyber Threat Intelligence platform to aggregate Indicators of Compromise (IOCs), enrich threat data, and support security investigations.
Built using FastAPI, Python, SQLAlchemy, and modern web technologies to streamline threat analysis and improve cybersecurity operations.
Developed a Python-based utility to collect, organize, and categorize publicly available dark web (.onion) links for cybersecurity research and OSINT activities.
Enables structured exploration of darknet resources while supporting threat intelligence, investigative workflows, and security research.
Developing an AI-powered fraud detection system that leverages machine learning and network security analytics to identify anomalous credit card transactions in real time.
The solution focuses on behavioral analysis, anomaly detection, and risk scoring to strengthen fraud prevention and improve financial transaction security.
Designing a blockchain-enabled Know Your Customer (KYC) platform to provide secure, tamper-resistant, and reusable customer identity verification for NBFCs.
The platform aims to streamline customer onboarding, reduce verification time, enhance regulatory compliance, and improve data integrity through decentralized identity management.
Email: vedant.btmtcs22212@nfsu.ac.in
GitHub: github.com/vpaycsec
LinkedIn: linkedin.com/in/vedantprasad08