Digital Forensic Investigator

I’m David Rizzo, Cyber Analyst.​

Graduating cybersecurity student with a strong focus on digital forensics. My passion lies in uncovering digital trails and securing our increasingly connected world. This site serves as my professional portfolio and blog, where I share my research, projects, and insights into the evolving cybersecurity landscape.

About Me

I combine practical experience in network security and incident response with comprehensive system knowledge across Linux, Windows, and macOS environments. My analytical skills are supported by proficiency in Python and SQL, which I use to enhance security operations, alongside expertise in network traffic analysis (Wireshark) and Active Directory management. I’m also cloud-ready, with experience across AWS, Azure, and other platforms

Top

skills​

01.

Cyber Security

I possess strong practical experience in network security and incident response, complemented by extensive knowledge across Linux, Windows, and macOS environments. My skills include network traffic analysis, Active Directory management, vulnerability assessment, and security operations using tools like Wireshark and Splunk.

02.

Digital Forensics & Incident Response

With a focus on digital forensics, I’ve successfully led security breach investigations, performed root cause analysis, and conducted forensic investigations on hard drive images. I am proficient in generating detailed forensic reports using tools such as FTK Imager and Magnet Axiom.

03.

Cloud Security & Automation

I am cloud-ready with AWS experience and expertise in deploying and monitoring systems in cloud environments like Azure. I leverage Python and SQL to automate complex security tasks, enhancing overall security operations.

MOST RECENT​

Projects​

This highlights a selection of my hands-on cybersecurity projects, demonstrating my practical skills and problem-solving approach in areas like digital forensics, incident response, and network security.

Close-up of a computer screen displaying programming code in a dark environment.