Flight Ticket Arbitrage 

Objective: This model unlocks airline price insights to facilitate data-driven decision-making and creating regression models for price prediction to enhance market analysis and strengthen future arbitrage strategy.

Tools/ Technologies: Python, Jupiter Notebook, Google Colab, pandas, numpy, scikit-learn, matplotlib, seaborn, statsmodels, XGBoost, TensorFlow, Power BI.