Home / Professional Experience
Experience

Professional Experience

My professional experience spans commercial airline operations, mathematical optimization, machine learning, and transportation analytics. I have worked on a range of industry and research problems involving maintenance planning, workforce and capacity planning, operational reliability, and transportation system performance.

The experiences below highlight some of the projects and responsibilities I have undertaken.

View full experience on LinkedIn
American Airlines · Operations Research & Advanced Analytics (OR&AA)
Research Collaboration
Research Collaborator
January 2024 — Present
  • Developed a large-scale optimization model for aircraft maintenance scheduling and station assignment, validated on a fleet of over 800 aircraft.
  • Developed a decomposition-based approach for strategic capacity planning across a network of aircraft maintenance facilities, integrating capacity decisions with maintenance scheduling.
  • Led a team in the American Airlines COMPASS Optimization Competition, developing an optimization model for annual flight-dispatcher workforce planning across eight work centers and three daily shifts.
  • Contributed to other airline operations research and analytics projects involving aircraft turnaround performance, aircraft parts demand forecasting, and compartment assignment.
Mathematical OptimizationLarge-Scale SchedulingWorkforce PlanningMachine Learning
FAMU–FSU College of Engineering
Tallahassee, Florida
Graduate Research & Teaching Assistant
August 2022 — Present
  • Conducted research in mathematical optimization, operations research, and machine learning, with applications to large-scale transportation planning and scheduling problems.
  • Mentored and supervised undergraduate researchers through the Research Experiences for Undergraduates (REU) and other undergraduate research programs.
  • Supported teaching and student projects in Engineering Big Data Analytics, including Python programming and data analysis.
  • Contributed to the organization of the NSF-funded Aviation Big Data Case Competition.
Operations ResearchResearch MentoringTeaching
Florida Department of Transportation
Research Collaboration
Research Collaborator
August 2022 — May 2023
  • Applied causal discovery, statistical analysis, and machine learning to investigate the influence of external factors on transportation system performance, including the analysis of low-frequency time-series data.
Causal DiscoveryMachine LearningTransportation Analytics
Air Peace Limited
Lagos, Nigeria · December 2019 — July 2022
Material Planning Engineer
March 2022 — July 2022
  • Planned aircraft parts availability for scheduled and unscheduled maintenance, supporting maintenance planning and fleet operations.
  • Contributed to the development of business intelligence and material planning analytics for engineering and supply chain operations.
Material PlanningBusiness Intelligence
Reliability Engineer, Technical Services Engineering
February 2020 — March 2022
  • Designed and implemented the airline's Reliability Management System, incorporating fleet performance monitoring, reliability analysis, and predictive maintenance.
  • Developed fleet reliability dashboards for Boeing and Embraer aircraft, analyzed recurring technical faults, and presented reliability findings and recommendations to senior engineering leadership.
  • Conducted reliability assessments and analyses supporting maintenance decisions and the airline's ETOPS authorization for international operations.
Reliability EngineeringPredictive MaintenanceData Analytics
Methods & Expertise

Technical Expertise

Optimization

Core specialization

Mixed-Integer ProgrammingMIQPLarge-Scale & Decomposition MethodsHeuristicsSchedulingCapacity PlanningWorkforce PlanningDecision-Making under Uncertainty

Machine Learning & Analytics

Prediction and insight

Predictive ModelingDemand ForecastingCausal InferenceStatistical ModelingReliability Analysis (MTBF / MTBUR)

Tools & Platforms

Languages, solvers, libraries

PythonGurobiCPLEXGAMSSQLMATLABRscikit-learnPandasNumPyTensorFlowKerasPower BI
Back to top