Aatif Butt Email & Phone Number

Hi! I am Aatif Imtiaz Butt; currently working with Redlen Technologies Inc as a Data Scientist where I strongly contribute with its reliability program for CZT sensors used in medical imaging devices. My main responsibilities can be categorized as:1: Data Management: where I implement high-throughput data extraction and preprocessing tools, ensuring data integrity across various sources including R&D databases and cloud-based production data.2: Predictive Modelling: where I develop, train, and deploy statistical and supervised and unsupervised machine learning models for identifying data patterns and predicting outcomes, enhancing performance tracking and operational practices.3: Reporting and Experiment Design: where I leverage advanced data visualization techniques for data interpretation, contribute to experimental design, and deliver comprehensive reports and actionable recommendations.My Ph.D. in experimental high energy physics at the University of Alberta is an explicitly unique experience in big data ETL processing generated by the Large Hadron Collider, comprehensive features visualization, advanced statistical modelling and hypothesis testing in a competitive ATLAS collaboration at CERN in Switzerland. I deployed cloud ETL to process the LHC's 2.03 quadrillion proton-proton collision data on ATLAS distributed data management system to prepare data for scientific analysis. I devised a unique data analysis procedure having two-fold distinction to efficiently process prepared data comprising 748 million proton-proton collisions with efficient grid computing to search for the microscopic black-holes signal with a quantum chromodynamics background. I used advanced visualization tools to validate data analysis results in comparison with the latest Monte Carlo simulations. The hypothesis of observing new physics beyond the standard model was found to be null and void after rigorous statistical modelling and the Confidence Levels frequentist method was implemented to set model-independent upper limits and model-dependent lower limits to exclude new physics beyond the standard model with a 95% confidence level.