Cybersecurity & Digital Forensics Graduate - Computer Lab Assistant
Resume:
Eman
Abbasi
Cybersecurity & Digital Forensics
Graduate
**************@*****.***
Saudi Arabia, Khobar
SUMMARY
Motivated Cyber Security and Digital Forensics graduate with hands- on experience in programming languages such as Python, Java, and C++. Skilled at providing technical support in educational environments, including assisting with coding activities, securing websites, and managing lab resources. Passionate about fostering a collaborative learning atmosphere while ensuring a safe and respectful environment for students.
EDUCATION
-Imam Abdulrahman bin Faisal
University (IAU)
Dammam · 2020 - 2025
Bachelor : Cyber Security & Digital
Forensics
Graduated with GPA: 4.99 / 5.0 (First in
batch)
-Rowad Alkhaleej High School
· 2017 - 2020
Graduated with degree of 99.96% (First
in batch).
Honor of the top student in the high
school.
SKILLS
Python
Java
C++
Database (MySQL)
Operating Systems (Linux & Windows)
Penetration Testing
EXPERIENCE
Cooperative Training - Deanship of Scientific Research (IAU)
· Jun 2024 - Aug 2024
Found security solutions for web vulnerabilities
Trained on server configurations
Conducted a workshop on web vulnerabilities
Peer Teaching - High School
· Aug 2017 - Mar 2020
Taught my classmates all school subjects.
Sending recorded videos to my classmates before exams. ACHIEVEMENTS
First Position in Batch (Junior & Senior Years).
Achieved the highest academic rank with GPA of 4.99 / 5 in the Cybersecurity and Digital Forensics program for the graduating class of 2024–2025.
Third Position in Batch (Freshman & Sophomore Years). Honored with the third position in the General Computer Science Department during the academic year 2022–2023.
CERTIFICATIONS AND LICENSES
IELETS Certificate GPA: 6.5
Educational Professional License - Qiyas
PROJECTS AND PUBLICATIONS
Automated PII Leakage Detection and Validation - SEP 2024 - MAY 2025
Cooperated in the development of a system under the name
“PrivacyShield” that detects and validates leaked personally identifiable
information (PII) by cross-referencing external breach data with internal
SIEM logs using machine learning and fuzzy matching. Publication of a Review Paper in IEEE Xplore - MAY 2025 Co-authored a review paper titled “Detection of Personally Identifiable Information Leakage on the Web Using Artificial Intelligence Techniques: A
Comprehensive Review,” published in IEEE Xplore and presented at the ICBATS 2025 Conference
Digital Forensics
Ethical Hacking
Networking & Network Security
Web Development & Security
Information System Auditing
Deadline Management
Teamwork and Collaboration
Effective Communication
Presentation
REFERENCES
Reference available upon request
LANGUAGES
Arabic
English
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