This space 🚀 is where I track my hands-on journey into Cloud, Automation, AI, DevOps and Data Analytics ☁️⚙️ I’m building skills in infrastructure management, deployment, and scripting, experimenting with new tools, and solving practical challenges along the way 💻🔧 I aim to bridge traditional IT experience with modern cloud platforms, creating solutions that are reliable, efficient, and scalable. Here, I share labs, scripts, and projects from my learning journey - always iterating, always improving ✨
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terraform-splitter
terraform-splitter PublicA simple Python tool to automatically split a `main.tf` into multiple Terraform files, preserving comments and organizing blocks by type for easier management.
Python
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quick-dev-env-setup
quick-dev-env-setup PublicQuick dev environment setup for Windows, macOS, and Linux (Git, Docker, Node.js, Python, Terraform)
Shell 1
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ce12-capstone-sandbox
ce12-capstone-sandbox PublicSandbox repository for the CE12 DevOps Capstone project to experiment with application code, infrastructure, CI/CD, monitoring, and security.
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customer-analytics-with-r
customer-analytics-with-r PublicCustomer analytics with R focusing on user behaviour, segmentation, and business insights.
HTML
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aiap20-mfaizalbe
aiap20-mfaizalbe PublicMachine learning project with data exploration, feature engineering, model training, and evaluation on a dataset.
Jupyter Notebook
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