Himanshu Kumawat

I’m a highly analytical, logical B.Tech Computer Science/IT student graduating in May 2027, and I’m focused on building measurable operational impact through data-driven decision making. I bring hands-on experience in extracting, analyzing, and cleaning real-world telemetry data using Python, with a strong preference for structured, clear reporting.

In my Research Engineer Intern role, I use Python scripts to extract, analyze, and clean telemetry data to resolve performance anomalies and improve system uptime. I also write and structure detailed performance runbooks and diagnostics narratives to brief cross-functional engineering teams effectively.

As the primary technical point of contact, I troubleshoot and resolve hardware/system exceptions and escalate complex dependencies systematically until resolution. I’m especially drawn to real-time ops work where structured narratives, exception handling, and stakeholder support directly improve reliability.

I’m trained for the communication side of operations through NPTEL “Effective Writing” (IIT Roorkee) and supported by specialized coursework in data analysis and visual dashboarding with Power BI. I’m seeking a role at Amazon’s Transportation Operations Center (TOC) to optimize freight pipelines, resolve transport exceptions, and coordinate smoothly with global carriers/vendors.