Esiri Onokurhefe, P.Eng., PMP, builds advanced analytics and operational pipelines for the aerospace sector—translating legacy data into predictive systems.
Book a ConsultationFrom manufacturing bottlenecks to flight route optimization, we deploy production-grade ML and data architecture tailored for aviation.
Lead time prediction, ERP integration (SAP/VISUAL), NLP-based ops classification, and bottleneck analysis.
Payload-range analysis, FAR Part 25 Engine Failure Procedures (EFPs), and route-level fuel burn modeling.
Replacing flat-file and spreadsheet operations with automated Python, SQL, and AWS/GCP pipelines.
ML-assisted task classification, RVTM automation, and IBM DOORS integration for complex defense programs.
1-on-1 mentorship and career strategy for early-career aerospace and data science professionals.
I bridge the critical gap between complex flight operations and production-grade machine learning systems. Over the past decade, I have automated requirements triage for major defense programs, built ML models to predict manufacturing lead times for the DHC-515, and optimized fuel efficiency systems for leading commercial carriers. I specialize in delivering insights that the big firms can't, because I understand both the algorithms and the aerodynamics.
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Whether you need to untangle legacy ERP data, optimize flight performance, or you're seeking 1-on-1 career mentorship—let's talk.