I studied Physics at University, an academic pursuit which endowed me with a robust foundation on calculus, algebra, and probability theory. The knowledge of these mathematical concepts would be of advantage later when facing the modern professional landscape.
When transitioning into the corporate realm, I first worked as a data consultant. In this role, I crafted insightful visualization dashboards that distilled intricate data into comprehensible insight. Furthermore, I also queried consumer databases to orchestrate personalised marketing campaigns. In essence, I was filling the gap between raw data and strategic decision-making, by transforming data into actionable business strategies.
Eager to further sharpen my expertise, I embarked on an EngD program about geometric deep learning in the context of medical imaging. This ambitious endeavour fused my mathematical proficiency with my technological aspirations, as I delved into the burgeoning field of AI and its applications in healthcare. As a result of these efforts, I produced 4 different publications on impactful conferences, and I expect to graduate in October 2023.
Collectively, my trajectory has bestowed me with a potent amalgamation of skills. I possess a solid mathematical foundation, fortified by my academic background in Physics. I developed the skill to extract insights from different data sources. Ultimately, these experiences not only turned me into a dynamic professional but also fuelled my desire to continue pushing the boundaries of technological advancements in data analysis and medical imaging.