Contact CHANDNI SAHA
Areas of expertise
- Computing, Simulation & Modelling
Background
Chandni Saha is an adept professional in software development and data analytics. She highly skilled and dedicated professional with a strong foundation in software development and data analytics. With a robust educational background, including a Master's degree in Computational Intelligence in Data Analytics from Cranfield University and a Bachelor's degree in Software Engineering from SRM Institute of Science and Technology, Chandni has honed a diverse set of technical skills. These include expertise in Artificial Intelligence, Machine Learning, Deep Learning, Parallel Computing, and Data Analytics tools, among others. She has a solid track record in data security and software development, notably at Indian Cyber Security Solutions Currently, Chandni is working as a Research Assistant in Data Analytics and Software Development and contributing her expertise to the 'Clean-Cabin' Virtual Queuing Study at Cranfield University, where she is involved in the design, creation, and testing of a user-centred prototype web-based application. This project aims to revolutionise the aircraft boarding process by improving operational efficiency, enhancing passenger satisfaction, and creating new commercial opportunities for service providers.
Research opportunities
- Software development
- Data analytics
- Data security
- Applying ML/DL techniques in aerospace facilitates optimisation of various processes, including predictive maintenance, flight path planning, fault detection, autonomous systems, image processing,quality control, environmental impact reduction, and simulations.
- Web-based application design
- Enhancing aircraft boarding efficiency through technology
- Leveraging technology for business growth and operational improvement
Current activities
Chandni Saha is currently engaged in a project at Cranfield University, focusing on developing a user-centred prototype web application for the 'Clean-Cabin' Virtual Queuing Study. This initiative aims to improve the aircraft boarding process, thereby enhancing operational efficiency and passenger satisfaction in the aerospace sector. The project examines the potential of virtual queuing (VQ) for enhancing the aircraft boarding process. Specifically, the project will examine the potential for; (i) Improving the operational efficiency of passenger boarding (with a view to minimising delays and reducing turnaround times), (ii) Enhancing passenger satisfaction and (iii) developing new and existing commercial opportunities for service providers.
Clients
- Boeing Co