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Entry-Level Data Science and Cybersecurity Professional with AI & ML Skills
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Information Technology graduate from Murdoch University Dubai, specialising in Artificial Intelligence and Cybersecurity. Skilled in Python, SQL, and machine learning with hands-on experience in NLP, penetration testing, vulnerability assessment, and digital forensics. Strong analytical mindset with the ability to build secure, data-driven solutions. Actively seeking internship and entry-level opportunities in AI, Data Science, or Cybersecurity in Dubai.
Murdoch University, Dubai
Bachelor of Information Technology · Artificial Intelligence and Cybersecurity
August 1, 2026 – Present
Saint Nishchal Senior Secondary School
High School Diploma · English, Physics, Chemistry, Mathematics, Hindi
N/A – May 31, 2023
Future Interns
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June 1, 2026 – Present
Bengaluru, Karnataka, India
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Cybersecurity Intern - Red Team
May 1, 2026 – Present
Abu Dhabi, United Arab Emirates
EduGuardian AI - Academic Risk Prediction System
January 1, 2023 – Present
Developed a full-stack AI system using a hybrid ML pipeline (Logistic Regression, Random Forest, XGBoost) with SMOTE for class balancing and a Flask dashboard for real-time student risk monitoring.
Ethical Hacking & Penetration Testing - FlowerArt Security Assessment
January 1, 2023 – Present
Conducted black-box penetration testing; exploited Log4Shell (CVE-2021-44228) and OpenSMTPD RCE to achieve root-level access and delivered a full remediation report.
Digital Forensics & Incident Response - Narcos Investigation
January 1, 2023 – Present
Performed disk and memory forensic analysis to recover deleted artefacts, detect steganography and encrypted data, and produce a structured investigation report.
Mental Health Social Media Topic Modelling
January 1, 2023 – Present
Built an NLP pipeline to analyse Twitter mental health discussions using LDA, BERTopic, TF-IDF, and K-Means, evaluated with perplexity and silhouette scores.
CVE-2024-38063 Detection & Mitigation System
January 1, 2023 – Present
Designed a network IDS and host monitoring solution for a critical Windows TCP/IP RCE (CVSS 9.8) using Suricata and Sysmon, tested in a virtualised lab with custom detection rules.
AWS Cloud Practitioner Essentials
Amazon Web Services
May 1, 2026 – Present
Building with the Claude API
Anthropic
May 1, 2026 – Present
Deloitte Australia - Cyber Job Simulation
Forage
May 1, 2026 – Present
Claude Code in Action
Anthropic
May 1, 2026 – Present
Cybersecurity and Ethical Hacking Training
DCSC
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in both AI/Data Science and Cybersecurity, which aligns with a target role that might involve secure data practices or AI in security. The projects are diverse, ranging from predictive systems to NLP and ethical hacking, indicating a broad technical curiosity. However, the experience is primarily academic and internship-level, which might require more structured mentorship in a professional setting. The current internships are remote, which suggests an ability to work independently, but also highlights a need to assess their integration into a team-based, in-person culture if applicable.
Soft Skills & Operational Fit
The candidate lists strong soft skills such as Communication, Problem-Solving, Attention to Detail, Adaptability, Team Collaboration, Technical Writing, and Research. These are crucial for a Data Science role, especially in collaborative environments and for effectively communicating complex technical findings. The project descriptions are clear and well-structured, supporting the claim of good communication and technical writing. The diverse project portfolio suggests adaptability and a problem-solving mindset.