(CEH) v13 AI Certified || Digital Forensics Analyst || Penetration Tester
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Identity: Sayani Maity
Role: B.Sc. Digital Forensics Student
I am Sayani Maity, currently pursuing a B.Sc. in Digital Forensics (2023–2026) at Indian School of Ethical Hacking (ISOEH), Kolkata,underMaulana Abul Kalam Azad University of Technology (MAKAUT), West Bengal, India.
Present Job Profile: As a VAPT Intern @ ISOAH Data Securities Pvt. Ltd.
As a (CEH) v13 AI Certified professional, I specialize in bridging the gap between theoretical security and real-world defense.
I specialize in Digital Forensics, Penetration Testing, OSINT, and cybersecurity tooling.
My expertise lies in Penetration Testing (WAPT/VAPT), OSINT research, and the development of AI-assisted detection tools.
I am proficient in automating security workflows using Python and Bash, ensuring efficiency and precision in technical operations.
I thrive on solving complex CTF challenges and conducting deep-dive threat analysis, with a constant focus on automation and proactive defense.
My technical arsenal includes hands-on experience with industry-standard tools like Nmap, Burp Suite, Autopsy, and advanced OSINT research frameworks.
I am passionate about leveraging my technical skill set to help organizations build resilient, proactive security postures and contributing to a safer digital ecosystem.
>_ Investigating. Exploiting. Securing.
(CEH) v13 AI Certified
Web-based Digital Forensic Learning Tool implementing hashing and encoding techniques.
Click & View on GitHubA web-based Digital Forensic Learning Tool. Implemented basic hashing and encoding features for educational analysis. (Academic Project)
GUI platform for VAPT, Pen Testing, and Network Scanning.
Click & View on GitHubGUI platform for VAPT, Pen Testing, and Network Scanning. A one-click interface to streamline tasks for efficiency. (Academic Project)
Detects phishing emails using AI analysis of headers and content.
Click & View on GitHubDetects phishing emails using AI-based analysis of headers and content to identify malicious patterns.












