Autodetection of 5G Physical channels configurations using ML

My role. Lead Machine Learning Developer

Project description. Developed and implemented a Machine Learning solution to automatically detect and classify 5G physical channel configurations. The project aimed to enhance network efficiency by accurately identifying physical channel settings, enabling proactive optimizations in 5G networks. This solution combined feature extraction, data preprocessing, and advanced ML algorithms to deliver reliable and actionable insights.