Rishabh Singh
Brisbane
Summary
Recent graduate specializing in Cybersecurity, Networking, and Data Analytics from Queensland University of Technology (QUT). Demonstrated expertise in real-time cybersecurity integration utilizing Azure Logic Apps. Conducted research on phishing and identity theft detection leveraging machine learning and time series analysis. Strong technical, research, and problem-solving skills with a detail-oriented approach to learning new concepts.
Overview
1
1
Certification
Work History
IT Industry Project
QUT
- Securemation – Azure Logic Apps Integration for Security Tool Interoperability
- Developed and implemented secure integration workflows using Microsoft Azure Logic Apps to automate data ingestion and event handling across multiple cybersecurity tools (Sentinel, Splunk, QRadar).
- Designed low-code, scalable workflows ensuring secure API interactions between disparate security platforms.
- Enabled real-time threat detection and automated alert generation by integrating SIEM data pipelines with event-driven architectures.
- Applied security best practices (authentication, encryption, and GDPR-compliance principles) to protect sensitive threat intelligence data flows.
- Improved incident response time and interoperability between tools by 25% compared to baseline manual processes.
IT Research
QUT
- Federated and Continual Learning Approaches for Real-Time Phishing and Identity Theft Detection
- Conducted a systematic literature review (SLR) of 13 peer-reviewed studies on phishing and identity theft detection between 2022–2024.
- Analyzed and compared machine learning models (CNN, LSTM, ARIMA) and their effectiveness in detecting real-time cyber threats.
- Proposed a scalable, privacy-preserving cybersecurity framework integrating federated learning, continual learning, and time series analysis.
- Identified major challenges including computational overhead, privacy-utility trade-offs, and real-time adaptability, and recommended mitigation strategies.
- Synthesized research insights into a practical roadmap for developing adaptive security models balancing detection accuracy with computational efficiency.
Education
Master of Science - Information Technology
Queensland University of Technology
Brisbane, QLD07-2025
Skills
Programming and Automation:
Python, Bash, C, C#, Basic API Handling
Cybersecurity and SOC Tools:
Splunk, Wireshark, SIEM Tools, Microsoft Sentinel, Microsoft Defender, IBM QRadar
Data Analysis and Visualization:
Python (pandas, numpy, matplotlib, seaborn), SQL, Excel, Tableau
Soft Skills:
Problem-solving, Analytical thinking, Attention to detail, Communication, Teamwork, Adaptability, and Ethical practices
Certification
- Google Cybersecurity Professional Certificate (2024)
Languages
English
Full Professional
Hindi
Professional
Timeline
IT Industry Project
QUT
IT Research
QUT
Master of Science - Information Technology
Queensland University of Technology
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