Airline Demand ML

Airline Demand Prediction is a data science and machine learning application that forecasts commercial passenger demand across flight routes using feature engineering and regression algorithms.

Role: ML Engineer & Data Scientist · Type: Data Science & Predictive Analytics · Industry: Aviation & Machine Learning Forecasting

The problem

Airlines need accurate passenger volume forecasts to optimize fleet scheduling, dynamic ticket pricing, and fuel allocation.

Historical seasonal fluctuations and economic indicators make demand prediction complex
Raw flight data contains missing values, outliers, and categorical route features

Stack

Data Science: Python, Scikit-learn, Pandas, NumPy, Matplotlib, Seaborn

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