About Me

A hardworking and resourceful individual.

I am a Computer Forensics Graduate currently working as an I&V Engineer at Leidos. I have a strong interest in technology and always try to keep myself occupied with a few ongoing projects, recently I have been working on developing a web scraping toolkit for social media extractions. So far in 2022, I have completed an artificial intelligence nanodegree with Udacity and I am currently undertaking a Cyber Defence learning path through Infosec.
Much of my remaining free time is focused on completing TryHackMe rooms/CTFs or photography (preferably film).

Skills

Competencies and capabilities

Tools and Languages UFED, EnCase Forensic, XRY, Magnet IEF, Macquisition (Cellebrite Digital Collector), The Sleuth Kit, FTK, Python, Jupyter Notebooks
Forensic Techniques Acquisition, RAM Capture, Data Carving, File Recovery, Web Artefact Analysis, Web Scraping, Open Source Intelligence
Cyber Security LOKI, MITRE ATT&CK Framework, Nessus, Splunk, Wireshark, Yara
Communication English, Russian (Beginner)

Technical Experience

Professional technical career opportunities and growth

I&V Engineer Leidos September 2021 - Present
  • Responsible for executing test runs for critical payment milestones.
  • Regular duties include test writing, peer reviews, and test execution
Technical Graduate Leidos September 2019 - August 2021
  • Initially assigned to I&V tesing before being rotated to several different testing roles on multiple projects.
  • Received a SPOT award for hard work and commitment towards critical project deadlines.
  • Elected to undertake multiple training and enrichment opportunities alongside my regular activities.
  • Arranged a mentoring relationship with a former Head of Cyber Security.
Cyber Crime Intern Gwent Police July 2017 - June 2018
  • Assisted in the design and implementation of Standard Operating Procedures for ISO 17025 Accreditation.
  • Responsible for undertaking live casework in a complex and strictly time-limited environment.
  • Regularly assisted with warrants and performed on-scene triage.
  • Normal duties included preservation of volatile data, non-destructive forensic imaging, data carving and extraction, and analysis of forensic artefacts.
  • Participated in incident response development, planning, and simulation workshops.
  • Received specialised formal and informal training in forensic investigative techniques, tools, and capabilites.

Education

Degrees, certifications, and training

Bachelor of Science (Hons) in Computer Forensics University of South Wales 2014-2019
Best External Impact Project Prize University of South Wales 2019
AI Programming with Python Nanodegree Udacity 2022
Pre Security Learning Path TryHackMe 2022
Cyber Security Fundamentals Pathway Cloud Academy 2021
Certified Tester Foundation Level ISTQB 2021
Introduction to Ethical Hacking Tools Cloud Academy 2020
Project Fundamentals Qualification APM 2019
ITIL 4 Foundation Certificate in IT Service Management PeopleCert/AXELOS 2019
MSAB Kiosk Training Gwent Police 2017-2020
AccessData Certified Examiner v6 AccessData 2017-2019
Court Room Skills Training (Expert Witness) Bond Solon 2017
Excellence in Report Writing - Written Evidence Bond Solon 2017

A few Accomplishments

Recent notable achievements

Interpol First Responders and Digital Forensics Practitioners Framework

During my Bachelors dissertation project, I was requested by Interpol to provide assistance with their First Responders and Digital Forensics Practitioners Framework. I helped to fact check information within the guide and provided the results of my research to be included within the report.

Discord Bot

To continuously improve my skills and knowledge, I like to work on personal projects in my free time. One of my most successful projects has been a multi-functioned Discord chat bot. The creation of this bot gave me a much greater understanding of writing Python applications and integrating external APIs into my work.

AI Programming Nanodegree

I am currently undertaking an Artifical Intelligence nanodegree. This course covers areas such as: Python, data analysis and visualisation, linear algebra, calculus, gradient descent, neural network training, deep learning with Pytorch. My final project involves designing, training, and developing an Image Classifier.

TryHackMe Certifications