Data Analysis and Machine Learning
As a computer science major with a keen interest in the confluence of software engineering and data science, my focus gravitates towards innovative research at the intersection of these fields. My primary objective is to leverage computational methodologies to extract meaningful insights from complex datasets. In pursuit of this interdisciplinary approach, I am currently enrolled in an introductory epidemiology course. This academic endeavor is driven by a desire to comprehend the foundational principles underlying health-related data. By acquiring a solid grounding in epidemiology, I aim to fortify my analytical skill set, enabling me to undertake more comprehensive, well-explained, and insightful analyses in the realm of data science. This research area allows me to contribute to advancements that bridge the gap between software development and data-driven methodologies, particularly in the context of health and epidemiological studies.
