Senanur Demirci

Conducts applied cybersecurity research focused on OSINT, Cyber Threat Intelligence, and automated reconnaissance methodologies. Contributed to academic research, including 5 publications and multiple TUBITAK project proposals.

Develops cybersecurity R&D solutions focused on OSINT automation, attack-surface discovery, and security automation. Coordinates an 8-person technical team and contributes to TUBITAK-supported and EU R&D projects.

Contributed to the design and delivery of an introductory cybersecurity course for approximately 100 students, covering fundamentals, risk management, OSINT, and cryptography.

Contributed to the redesign and improvement of production ATS spiders for job-data extraction. Fixed selector and extraction issues, improving extraction success rates in validation tests.

Analyzed threat-intelligence sources and IOC records, identifying problematic integrations and reviewing candidate links for intelligence providers. Improved threat-data ingestion through source integration and parser development.

Worked on financial anomaly detection within a TUBITAK 1001-supported project. Trained and evaluated an online-learning stock-market anomaly detection model using GRU-based architectures.

Installed Ubuntu and project software on industrial computers and configured network access. Developed PyQt/QML interfaces and a modular OSINT desktop application.

Grade: 3.50 / 4.00

Pursuing a Master of Science in Computer Engineering with a thesis, holding a full scholarship and a GPA of 3.50/4.00.

Completed the Secure the Feature certification.

Completed instructor training in Data Analytics Essentials, a 30-hour course.

Completed the AI Summer Bootcamp.

Completed instructor training in Python Essentials 2, a 40-hour course.

Completed the Forward Program focusing on core skills.

Grade: 3.33 / 4.00

Completed a Bachelor of Science in Computer Engineering with a GPA of 3.33/4.00.