Enhancing Airline Performance Analysis for the Department of Transport

This project implemented a lambda architecture for analyzing domestic flight data in the US from 2009 to 2020. It used Apache Spark for batch processing, Spark Streaming for real-time analysis, and SVM models to predict flight cancellations and delays, with Docker for cluster management and Grafana for real-time visualization.

Machine Learning Project for predicting if a flight will be delayed or not and estimating in minutes how much time there will be a delay in its departure or arrival using different machine learning classifiers and regressors.

Udacity advanced data anaysis nano degree projects

Exploration of flights data using data visualization techniques

Interactive dashboard of 2021 U.S. flight delays

Live flight tracking