Abdullah Rizvi

- Led EU-funded research projects in 5G and Medical domains, - Managed end-to-end project lifecycles, including goal setting, stakeholder role definition, task prioritization, schedule development, and results evaluation - Successfully liaised with cross-functional teams, external partners, and stakeholders - Applied data science, machine learning, and reinforcement learning in 5G R&D - Worked across disciplines (engineering, research, design, compliance)

Main tasks: -Preprocessing and Transforming of the Dataset -Multivariate Analysis of Network Data -Regression Analysis for Data Loss based on Distance variable -Prediction of Time-series Downlink Throughput Data using LSTM on a Wireless Dataset with 95% accuracy -Research and reporting of AI methods for wireless coexistence management

- Led technical performance analysis and optimization projects - Managed cross-functional planning and implementation of network upgrades and performance enhancements - Monitored system KPIs, executed traffic/load analysis, and optimized configuration parameters- Analyzed the results of different Network Upgrades and testing