Shahir Nejrabi
London
Summary
Revenue Optimisation Analyst with 3+ years of experience at easyJet driving network revenue, yield optimisation, and data-driven decision making across pricing, demand forecasting, and inventory control. Strong background in airline revenue management systems, Python-based automation, API development, and advanced analytics. Proven ability to optimise flight performance, enhance RM tools, and collaborate with commercial, technology, and operations teams. Passionate about applying analytical rigor and innovative solutions to maximise airline revenue and maintain competitive market positioning.
Overview
3
3
years of professional experience
3
3
years of post-secondary education
Work history
RMS Optimisation Analyst
Easyjet
Luton
11.2022 - Current
- Optimise revenue and yield across multiple markets using pricing, forecasting, and inventory control techniques aligned with network and commercial objectives.
- Analyse forward bookings, historical demand, capacity changes, and competitor behaviour to deliver proactive recommendations that improve daily revenue performance.
- Support revenue decision-making using data sourced from internal RM systems, pricing tools, and market intelligence, ensuring accurate demand forecasts and inventory strategies.
- Partner closely with Commercial, Network Planning, Technology, and Operations teams to ensure revenue optimisation strategies are aligned with broader business goals.
- Monitor flight-level and market-level performance, identifying under- or over-performing services and implementing corrective actions.
- Contribute to process improvements and automation initiatives, improving efficiency, forecast reliability, and decision turnaround time.
Education
Master of Science - Data Science & Analytics
Brunel University London
Uxbridge 10.2021 - 06.2022
Bachelor of Engineering - Aerospace Systems Engineering
Coventry University
Coventry 10.2018 - 05.2021
Skills
- Airline Revenue Management & Yield Optimisation
- Network & O&D Forecasting
- Pricing & Inventory Control
- Market & Competitor Analysis
- Revenue Systems & Decision Support
- Python (Automation, APIs, AI/ML use cases)
- SQL & Advanced Data Analysis
- Forecast Accuracy & Performance Monitoring
- Web Applications for RM Teams
- Cross-functional Stakeholder Management
Custom
Revenue Management Trading Web Application (Python)
- Co-developed a new Python-based web application for the Revenue Management trading team.
- Designed and implemented OpenAPI integrations to connect RM systems and data sources.
- Redesigned critical RM workflows, significantly improving speed, usability, and decision accuracy for analysts and traders.
- Collaborated with technology teams to define functional and non-functional requirements, testing and validating releases.
- Led the redesign of a flight allocation algorithm to protect high-demand, high-yield flights from being allocated to lower-yield Flex Pass customers.
- Used data science and statistical analysis to identify revenue leakage and optimise eligibility logic.
- Delivered measurable revenue protection by prioritising high-selling flights and improving overall network yield.
Timeline
RMS Optimisation Analyst
Easyjet
11.2022 - Current
Master of Science - Data Science & Analytics
Brunel University London
10.2021 - 06.2022
Bachelor of Engineering - Aerospace Systems Engineering
Coventry University
10.2018 - 05.2021