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Experience

Professional
Experience

6+ years applying optimization, machine learning, and data analytics to airline operations — from airline reliability engineering and maintenance planning to large-scale research collaborations with a major U.S. carrier.

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800+
Aircraft fleet on which maintenance optimization models were validated
up to 80%
Reduction in computation time for long-term maintenance planning
<2%
Increase in objective value relative to the benchmark solution
ETOPS
Reliability analyses supported authorization for international operations
American Airlines — Operations Research & Advanced Analytics (ORAA)
Research Collaboration · Remote
Research Collaborator
January 2024 — Present
  • Developed optimization models for long-term aircraft maintenance scheduling and station assignment (A and C checks), validated at operational scale on a fleet of 800+ aircraft; contributed the "spawning" concept for scheduling multiple maintenance checks on a single aircraft.
  • Developed a strategic capacity planning model for a network of aircraft maintenance facilities, jointly optimizing station capacity and maintenance scheduling; proposed a decomposition-based solution approach for large-scale instances.
  • Engaged through the American Airlines COMPASS program as an external operations research consultant, developing an optimization model for annual flight-dispatcher workforce planning across eight work centers and three daily shifts.
  • Conducted airport-level aircraft turnaround time performance analysis, identifying contributing factors for a major U.S. airline (presented at the BTR Conference, 2026).
  • Collaborated on machine learning problems in aircraft part demand forecasting and aircraft compartment assignment.
FAMU–FSU Department of Industrial & Manufacturing Engineering
Tallahassee, Florida, USA
Graduate Research and Teaching Assistant / Mentor
August 2022 — Present
  • Mentored undergraduate and graduate students in the Engineering Big Data Analytics course (2023–2025), fostering data-driven decision-making and practical Python programming skills.
  • Assisted in organizing the NSF-funded Aviation Big Data Case Competition.
  • Supervised 4+ interns in the Research Experience for Undergraduates (REU) and Undergraduate Research programs (2022–2025) on Operations Research and Big Data Analytics in Aviation.
Florida Department of Transportation
Research Collaboration · Remote
Research Collaborator
August 2022 — May 2023
  • Contributed to the causal identification of the impact of external factors on transportation performance measures using PCMCI on low-frequency time-series data.
  • Collaborated on machine learning approaches for identifying relationships between external factors and transportation system performance measures.
Air Peace Limited
Lagos, Nigeria
Material Planning Engineer
March 2022 — July 2022
  • Planned and optimized aircraft parts availability to support scheduled and unscheduled maintenance checks, improving fleet readiness and aircraft availability.
  • Contributed to establishing the Business Intelligence function with data-driven insights into material usage and maintenance demand across engineering and supply chain units.
Reliability Engineer, Technical Services Engineering
February 2020 — March 2022
  • Designed and implemented Air Peace's Reliability Management System (RMS) for data-driven decision-making, predictive maintenance, and real-time monitoring of MTBF and MTBUR.
  • Developed statistical and machine-learning models that identified recurring faults and root causes, supporting targeted corrective maintenance that reduced flight delays, AOG incidents, and maintenance expenditures.
  • Established comprehensive fleet reliability dashboards (Boeing and Embraer) and led quarterly Reliability Review meetings with the Director of Engineering, Heads of Maintenance Engineering, Head of CAMO, and other senior leaders.
  • Prepared the reliability data and analyses supporting the airline's Extended Twin Operations (ETOPS) certification, enabling access to international markets including London, Mumbai, and Israel.
  • These reliability initiatives were credited with significant cost savings.
Graduate Trainee — Engineering and Maintenance
December 2019 — February 2020
  • Completed cross-functional rotations in Engineering Supply Chain, CAMO, AMO, and Quality Engineering, gaining comprehensive knowledge of aircraft maintenance operations and regulatory compliance.
Methods & Expertise

Technical Expertise

Optimization (core)
Mixed-Integer Programming (MIP / MIQP)Large-Scale & Decomposition MethodsHeuristicsSchedulingCapacity & Workforce PlanningDecision-Making under Uncertainty
Machine Learning & Analytics
Predictive ModelingDemand ForecastingCausal InferenceStatistical ModelingReliability Analysis (MTBF / MTBUR)
Tools
PythonGurobiCPLEXGAMSSQLMATLABRscikit-learn · Pandas · NumPyTensorFlow · KerasPower BI
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