PROFILE
Diego Urbaneja Portal
Junior SOC Analyst / Blue Team · Computer Engineering graduate
Computer Engineering graduate seeking a first Tier 1 SOC Analyst role. Certified in TryHackMe Security Analyst Level 1 (SAL1). Top 2% worldwide on TryHackMe (Sep 2026), with over 220 rooms completed. I practise alert triage, suspicious email analysis and network traffic analysis using Splunk, Elastic and Wireshark, and have built my own SOC lab with 30 investigation scenarios. Professional experience in Python development. C1 English.
CERTIFICATIONS
TryHackMe Security Analyst Level 1 (SAL1)
Credential ID: THM-6ab3e910351ee3b99abf475b
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HANDS-ON CYBERSECURITY TRAINING
TryHackMe · SOC Level 1 path
- Alert triage in Splunk and Elastic: queries, event correlation and assessment of true and false positives.
- Suspicious email analysis: headers, SPF and inspection of SMTP communications with Wireshark.
- Investigation reports with context, timelines, IOCs, MITRE ATT&CK techniques and conclusions.
TryHackMe · Systems and offensive security
- Over 220 rooms: networking, Linux/Windows, Active Directory, reconnaissance, vulnerabilities and web security.
- Applying knowledge of attack techniques to recognise suspicious activity during investigations.
SECURITY PROJECTS
SOC-Simulator · SOC training lab
Web-based SOC console with 30 triage, investigation and response scenarios covering around 2,950 synthetic events from 12 sources, with an alert queue, evidence and explained resolutions. SPL/KQL queries and Sigma rules for each scenario.
TypeScript · Node.js · Elastic/Kibana · Docker
View case study →THM Fieldbook · Lab notebook
Lab findings recorded with evidence, hypotheses and prioritised next checks; exports sanitised writeups and playbooks.
JavaScript · Python · GitHub Actions
View case study →Evidence Atlas · Security architecture
Case study of the previous version of this website: threat modelling and separation of the private workspace from the public site through server-side authorisation, row-level security (RLS) and publication snapshots without private data.
Next.js · TypeScript · Supabase/PostgreSQL
View case study →
PROFESSIONAL EXPERIENCE
Associate Technical Staff · University of Burgos
- Developed EcoVid (Dig4Vitis project): a web application to detect and quantify copper deposits on vine leaves using hyperspectral images.
- Reproducible processing, alignment and visualisation workflows in Python and Streamlit, using OpenCV, NumPy and Docker.
EDUCATION
Degree in Computer Engineering · University of Burgos
Average grade: 7.98/10. Final-year project: hyperspectral image analysis for copper detection in vineyards.
TECHNICAL SKILLS
- Detection and analysis
- Splunk and Elastic (lab), SPL/KQL queries, Sigma rules, alert triage, log analysis (Windows, Sysmon), phishing, Wireshark, IOCs, MITRE ATT&CK.
- Systems and networks
- Linux, Windows, Active Directory; TCP/IP, DNS, HTTP/HTTPS.
- Offensive security foundations
- Nmap, Burp Suite, Metasploit and BloodHound in lab environments; web and API security.
- Development
- Python, Java, SQL, TypeScript; Git, Docker, GitHub Actions, Streamlit, OpenCV, Pandas.