Asad Aftab

• Developed and optimized AI models, reducing network latency by 40% and increasing data throughput by 30%. • Designed scalable data pipelines in Microsoft Azure, and AWS for real-time processing. • Implemented anomaly detection for improved system reliability. • Integrated LLMs for advanced communication tasks and enhanced predictive analytics. • Collaborated with Intel and Nokia to deliver data-driven solutions, analyzing traffic data and optimizing IoT architectures.

• Designed and maintained ETL pipelines for seamless integration of large-scale healthcare data. Engineered scalable data architectures combining data engineering and ML for real-time analytics. • Developed predictive models for hospital performance. • Used clustering to segment patient data, optimizing resource allocation. Automated workflows, reducing processing time by 20%. • Built Power BI dashboards to visualize key healthcare metrics for decision-making.

• Built predictive models in Python with 81% accuracy, aiding COVID-19 resource allocation and public health strategies. • Developed real-time Power BI dashboards for 5+ million citizens, delivering actionable insights. • Optimized data pipelines for large-scale processing, ensuring accuracy and performance. • Conducted risk analyses using clustering to identify high-risk zones. • Collaborated with government agencies to transform public health data into strategic, data-driven insights.