Flight Data Analytics & Insights Using Python

✈️ Flight Data Analytics Project

A complete data analytics project focused on analyzing flight data to uncover insights about airline performance, delays, routes, and trends.

What this project delivers:

Cleaned and processed raw flight data

Exploratory Data Analysis (EDA) to identify patterns and anomalies

Clear insights on flight delays, cancellations, and performance metrics

Well-structured analysis using Python (Pandas, NumPy, Matplotlib/Seaborn)

Reproducible and well-documented workflow on GitHub

Key Skills & Tools Used:

Python for data analysis

Data cleaning & transformation

Exploratory Data Analysis (EDA)

Data visualization

Insight-driven reporting

Use Cases:

Airline performance evaluation

Operational efficiency analysis

Data-driven decision support

Academic or business analytics projects

This project demonstrates my ability to work with real-world datasets, transform raw data into meaningful insights, and present results in a clear and professional way.

Perfect for clients looking for data analysis, reporting, or dashboard-ready insights.