With a Ph.D. in Physics from the University of Southampton, I bring a robust foundation in theoretical physics and quantitative disciplines to the table. My research journey has been centered around unraveling the intricate relationship between fundamental physics and a meticulously defined data-driven approach, particularly in investigating jet dynamics at the Large Hadron Collider (LHC). My expertise spans statistical methodologies, machine learning techniques, various programming languages, and data visualization tools. I've honed these skills through notable projects, including deploying deep machine-learning models for image recognition in particle physics experiments and leveraging Bayesian methods to fit critical parameters for aircraft trajectories in Project Bluebird. This initiative aimed to pioneer the world's first AI system to operate a sector of airspace in live trials. Let's collaborate to unlock insights, drive innovation, and make impactful decisions fueled by data.