Shahir Nejrabi
London
Summary
Optimisation analyst with data-driven and technology-focused approach. Communicates clearly with stakeholders and builds consensus around well-founded models. Experienced in creating products and formulating models. Equipped with strong problem-solving abilities, willingness to learn, and excellent communication skills. Poised to contribute to team success and achieve positive results. Ready to tackle new challenges and advance organizational objectives with dedication and enthusiasm.
Overview
2
2
years of professional experience
Work History
Optimisation Data Analyst
Easyjet PLC
11.2022 - Current
- Built a Random Forest model to predict optimal flight overbooking levels, leveraging historical no-show data and factors like seasonality, route patterns, and booking behaviors, increasing seat utilization by 4% and saving £0.4M in revenue in 4 months,
- Contributed to the development of a next-generation Revenue Management System, integrating machine learning models, dynamic pricing algorithms, and advanced optimization techniques to enhance demand forecasting and automate fare adjustments. This system is designed to maximize revenue per seat, reduce revenue leakage, and enable real-time, data-driven decision-making for airline operations.
- Engineered data pipelines to support the migration of legacy SQL processes to Python, improving efficiency by 15%. Played a key role in streamlining data processing workflows and enhancing data manipulation capabilities.
- Liaised with the ancillaries and data science teams to develop a new pricing model for hold luggage and test new thresholds for weight. Found a 12% increase in sales when paired with a promotion and 8% without, leading to a £6M increase in revenue.
- Automated the series seat sales process with python, turning a 2-4 week manual process into a 1 week process. Liaised with our client to ensure product experience heightens, boosting revenue on both sides by £0.4M
- Created an automated Tableau report by analyzing large-scale data with PySpark through Databricks, providing a 12-month progress report on ancillaries for the pricing analyst. This report enabled real-time tracking of ancillary performance trends, identifying revenue opportunities and optimizing pricing strategies.
Education
Master of Science - Data Science & Analytics
Brunel University
London, UK06-2023
Bachelor of Engineering - Aerospace Systems Engineering
Coventry University
Coventry, UK06-2022
Skills
- Python (PySpark, Pandas, Scikit-learn)
- SQL
- Databricks, VS Code, Git, Agile
- Data visualization (Tableau)
- Exploratory Data analysis
- Statistical Analysis
- A/B testing
- Linear regression
- Logistical regression
- Random Forest
- K-means clustering
Timeline
Optimisation Data Analyst
Easyjet PLC
11.2022 - Current
Master of Science - Data Science & Analytics
Brunel University
Bachelor of Engineering - Aerospace Systems Engineering
Coventry University
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