I am a dedicated Data Scientist at Ford Motor Company, utilizing my expertise in data analysis, data engineering, and machine learning to tackle complex challenges and drive innovative solutions. Proficient in working with expansive datasets from diverse sources, I leverage GCP, Python, SQL, Qlik Sense, and Alteryx for tasks spanning data extraction, transformation, loading, visualization, and modeling. My collaborative approach with cross-functional teams ensures the delivery of data-driven insights and recommendations that align with the company's overarching goals.I hold a Master of Science in Data Science from the University of Michigan, where I dedicated myself to the MiPACE study, a collaboration with Apple. Notable achievements include developing a VO2max calculation algorithm that reduced workflow run time by 80% and crafting machine learning models that outperformed existing benchmarks by 4%. Playing a pivotal role in leveraging Apple Watch data for exercise monitoring, I am passionate about applying data science to real-world issues. Drawing from diverse perspectives in my academic, professional, and athletic backgrounds, I aim to foster innovation and positive impact.