Data Cleaning and Analysis on Flight Delay & Cancellation

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.

Workforce management analytics project using airline delay data, modeling flights as support tickets to forecast staffing needs and optimize SLA performance.

GestionAir is a console application developed in C to manage flight operations at Grenoble Alpes Isère Airport, including flight schedules, passenger management, delays, cancellations, and maximizing runway usage using CSV data. (It was a fictitious project for my studies)

This project analyzes key factors contributing to flight delays, including departure times, weather, airport congestion, and carrier inefficiencies. Using Python and synthetic data, the analysis provides actionable insights and recommendations to optimize resource management, improve operational efficiency, and reduce delay rates

The project predicts flight delays using machine learning by analyzing weather and route data such as temperature, wind speed, and airport congestion. It provides accurate delay forecasts to enhance operational efficiency, support real-time decisions, and improve passenger experience through proactive management.

This project uses Power BI to analyze and streamline airline operations, focusing on flight scheduling, passenger management, and ticket booking. By integrating key data, it helps optimize operations, reduce delays, and improve customer satisfaction with data-driven insights and interactive dashboards.

This project presents a simulation-based approach to air traffic control (ATC), integrating machine learning and predictive analytics into a game environment. The goal is to showcase how real-world air traffic management leverages data-driven decision-making to optimize flight operations, prevent delays, and enhance controller efficiency.