Yuganshu Bansal

• Conduct monthly reliability analysis, and identify operational trends; perform root cause investigations to address recurring issues.
• Daily monitoring of repeat failures across the fleet, and escalation to technical support for timely resolution.
• Analyze and verify ATA codes, and map them using the 3C (Condition, Component, Corrective Action) and 4D frameworks for detail.
• Track component performance metrics, including MTBUR (Mean Time Between Unscheduled Removals), and evaluate against GMTBUR and component reliability.

Project Management

• Led the innovation and validation of an AI-powered analytical tool to detect chronic aircraft issues by processing maintenance records.
• Tool implementation addresses reliability gaps, and has the potential to save up to $8M annually in maintenance costs.
• Collaborated with the AI team and contributed to the core clustering logic for grouping similar fault patterns.

ISDP Project – Boeing Collaboration:

• Collaborated with Boeing to enable the seamless transfer of United Airlines' SI interruption data (CRs, Events, Logbook entries, and Flight Hours). Led data validation efforts and coordinated with internal IT teams to ensure accurate and automated data integration with Boeing systems.

Conference Participation – ISDC 2025, Anaheim, CA

• Attended the ISDC 2025 Conference, engaging with global aviation professionals, and exploring Boeing’s initiatives on modernizing data integration. Gained insights into the advanced use of reliability data for prognostics, and participated in case study sessions on final fix development using Boeing’s analytics platforms.

• Engineered scramjet engine inlet configuration and analyzed fuel injection in supersonic flows through experimental setups and simulations using MATLAB and ANSYS Fluent.