Hadia Asif

As a Machine Learning Intern at Predictive Analytics Lab, part of the NCBC and led by the Higher Education Commission (HEC), I completed a 12-week internship focusing on the practical applications of machine learning in healthcare, specifically analyzing X-ray images for tumor detection and tuberculosis diagnosis. This transformative experience enhanced my technical skills and provided hands-on knowledge in various machine learning techniques relevant to medical imaging. Collaborated with the team to devel

As a Big Data Trainee at DICE Analytics, I completed an intensive training program that provided me with essential skills for analyzing and interpreting large datasets effectively. I was honored to receive the Best Award for my performance throughout the training. Engaged in real-time data projects, focusing on the analysis of social media data, particularly Twitter analytics. Developed and implemented algorithms to process and analyze large volumes of data using Hadoop, leveraging its distributed storage