My career path has led me to embrace data science, with a particular focus on computational biology for research and development in the biosciences. At the core of my work lies the belief that the story mathematical and statistical modeling can tell has the potential to transform how we understand and explore biology. As a biologist deeply passionate about mathematics and statistics, I've embarked on a journey that merges these disciplines to revolutionize how we approach biological research. Holding both a Bachelor of Science (BS) and a Master of Science (MS) in Applied Mathematics, I've honed my abilities to derive deep understandings of complex biological processes.My true calling lies at the intersection of mathematics, computer science, and biology, where I apply my skills to drive advancements in bioscience research, public health, and environmental sciences. During my Master's program, I delved into research focused on unraveling disease transmission from various perspectives, exploring how it spreads and impacts communities. In my role as a data scientist within cultivation, I researched the impact of living soil ecosystems on fruit terpenoid growth, achieving a measurable increase of up to 354% in terpenoid fruit growth. These experiences have solidified my conviction that a multidisciplinary approach is key to unlocking new insights and innovations in biology.Technical Skills:Programming Languages: Python | R | MATLABTools and Frameworks: Pandas | PyTorch | TensorFlow | NumPy | Scikit-Learn | Matplotlib | Seaborn | ShinyDatabase Technologies: MySQL | ExcelI am dedicated to leveraging data-driven insights to address complex challenges in bioscience research and make a meaningful impact on society. Let's connect and explore opportunities to collaborate on transformative projects in computational biology and data science.