A Python-based aviation data analysis project that explores flight delay patterns across airlines, airports, and time periods. The project focuses on cleaning real-world data, identifying trends, and presenting insights clearly.
Python, Pandas, NumPy, Jupyter Notebook
Cleaned and prepared aviation delay data
Performed exploratory data analysis (EDA)
Analyzed delay trends by airline, airport, and time
Visualized key insights for clarity
Improved understanding of aviation analytics, data handling, and insight-driven analysis using Python.
Computer Science student building practical data analysis projects. Open to internships, freelance, and outsourced data projects.
⭐ If you find this project useful, consider giving it a star.