Libin Huang

Background: I majored in Mechanical Engineering during my college years, where I was trained to think in systems, such like how inputs, constraints, and variability affect performance. Whether it was manufacturing processes or mechanical design, I learned to break complex problems into measurable components and optimize them for efficiency, reliability, and scale. As I gained experience, I realized that what interested me most wasn’t just the physical design, but how resources were planned, utilized, and constrained over time. I became increasingly involved in questions like:

Where are the bottlenecks? What happens if demand spikes? How do we balance cost, speed, and risk?

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That curiosity naturally led me toward capacity planning. I found that many of the same engineering principles, such like simulation forecasting, bottleneck identification, and scenario modeling apply directly to workforce and operational capacity. The difference is that instead of machines and materials, the variables are people, time, and demand.

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In my role as a Data and Capacity Planning Analyst at State Street, I bring structure to decision-making, such as modeling demand, stress-testing scenarios, and building scalable plans that support business growth. I have experience forecasting infrastructure needs, driving rightsizing and migration planning, and influencing leadership decisions with data-driven insights over the past five years. I focus on turning uncertain demand into capital-efficient capacity decisions. By taking a system-level approach in combining forecasting, utilization thresholds, failure tolerance, and cost optimization, I help teams scale reliably and efficiently. My strength is translating complex technical signals into clear, actionable recommendations that help leaders balance performance, reliability, and investment.