I'm passionate about applying cloud cost transparency to infrastructure decisions. As a FinOps-focused cloud analyst, I specialize in extracting actionable insights from AWS usage data to help teams optimize resource usage and reduce cloud waste. I build tools in Python to make cloud efficiency measurable, visual, and actionable.

• 💰 FinOps Analysis: Detect underutilized cloud resources, quantify cost-efficiency, and recommend right-sizing strategies.
• 📊 CloudWatch + boto3 Automation: Scripted metric collection, visualization, and reporting from AWS services.
• 📈 Cloud Cost Dashboards: Build real-time dashboards using Dash/Plotly to communicate infrastructure performance clearly.
• 🐍 Python Engineering: Use Flask and Pandas to build reliable, data-driven tools for analytics and visualization.

An end-to-end FinOps tool to:

• Monitor EC2 usage via CloudWatch
• Calculate underutilization and estimate costs
• Compare instance efficiency (e.g., t2.micro vs t3.small)
• Recommend better pricing models (spot vs on-demand)

📍 Built using Python, Dash, boto3
📊 Live summary dashboard with network + CPU graphs
🔗 View Summary Dashboard

Cloud efficiency isn't just a billing problem — it's a visibility and strategy problem. I build tools to solve that.