Cloud Security & Machine Learning Enthusiast • Azure Learner • Security Automation Explorer
I'm passionate about Cloud Security, Machine Learning, and building hands-on projects that explore how security and automation can work together.
I enjoy working with Azure, identity management, and ML-based detection techniques to solve practical, real-world problems.
- 🔒 Cloud security labs (Azure Security Center, IAM, Key Vault, NSGs)
- 👤 Identity and Access Management workflows (RBAC, PIM, conditional access)
- ⚙️ Lightweight security automation scripts (Python + Azure APIs)
- 🤖 ML-based anomaly detection experiments (logs, access patterns, cloud data)
- Azure (Compute, IAM, Defender, Monitor)
- Network Security Groups, Firewalls
- Zero Trust concepts
- Cloud governance and best practices
- CI/CD + GitHub Actions
- Python for ML (Pandas, NumPy, Scikit-learn)
- Anomaly detection & behavioral analysis
- Data preprocessing and feature engineering
- Security + ML intersection projects
- Python
- Git & GitHub
- Postman / API tools
- VS Code
- Bash / PowerShell
- Azure Security Hardening Lab – securing Azure services end-to-end
- Cloud IAM Automation – scripts to automate access reviews
- ML Anomaly Detector – detecting abnormal access patterns in security logs
- Cloud Misconfiguration Scanner – basic Python script to flag risky settings
To grow into a role that blends Cloud Security + Machine Learning, building intelligent, scalable, and secure systems through automation and continuous learning.
- LinkedIn: [https://www.linkedin.com/in/ankit-ajay-325b231b1/]
- Email: [ankit.i253196@gmail.com]