Contact Chandni Saha
Areas of expertise
- Autonomous Systems
- Computing, Simulation & Modelling
- Sensor Technologies
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.
Current activities
Chandni Saha is currently working as a Research Assistant in Software and Data Analytics at Cranfield University, where she is engaged in projects that integrate machine learning, deep learning, and sensor fusion for real-world applications. Her current work involves developing intelligent systems that enhance operational efficiency and decision-making, with applications spanning healthcare, aerospace, and transport domains. By leveraging advanced statistical methods, cloud technologies, and scalable ML models, Chandni focuses on building innovative solutions to complex problems such as passenger movement analysis, rehabilitation monitoring, and intelligent traffic systems. This role allows her to bridge research and practice, delivering impactful, data-driven outcomes that contribute to technological advancement and societal benefit.
Clients
- Boeing Co
- Bill & Melinda Gates Foundation