Semira Mohammed

Analytical MS cybersecurity graduate with hands-on experience in security event monitoring, digital forensics, and network traffic analysis. Strong attention to detail and experience managing sensitive information. Proficient in tools such as Wireshark, SQL, and Python, well-prepared for entry-level roles in cybersecurity and information security.

• CompTIA Security+ (In Progress)

• Security Operations & Defensive Security Capstone, Kennesaw State University, Supported a blue team defensive security project by reviewing system activity, firewall behavior, web security findings, and potential attack indicators in a simulated environment. Documented firewall, web application security, and database hardening observations using clear technical reporting. Applied defensive security concepts related to monitoring, access control, incident analysis, and structured response processes.
• Digital Forensics Labs, Conducted forensic examinations using Autopsy to analyze disk images, identify user activity, and review file artifacts. Practiced evidence preservation, investigative documentation, and step-by-step analysis procedures.
• Network Traffic Analysis Labs, Captured and analyzed packet data using Wireshark to identify anomalies and unusual communication patterns. Interpreted common protocols including TCP/IP, DNS, and HTTP to support network investigation workflows.
• Cyber Analytics & Detection, Analyzed phishing and spam datasets using WEKA to identify detection patterns and evaluate classifier accuracy across multiple machine learning models. Compared analytical models including Naive Bayes, Decision Trees, and Random Forest to assess detection performance and data reliability. Documented findings and interpreted analytical results to support security-focused decision-making.