Staff Data Engineer @ Tesla | Carnegie Mellon MSBA. As a Staff Data Engineer at Tesla, I apply my skills and knowledge in data analysis, machine learning, optimization, and automation to uncover and implement process improvement opportunities in Cell Manufacturing. With over 6 years of experience in R&D, process engineering and data analysis I have a proven track record of leading and collaborating on innovative projects that enhance operational efficiency, product quality, and plant capacity. I hold a Master of Science in Mechanical Engineering from Purdue University and a Master of Science in Business Analytics from Carnegie Mellon University, where I developed my expertise in statistical data analysis, mathematical modeling, and business intelligence. I am passionate about solving complex problems, generating data-driven insights, and creating value for customers and stakeholders. I am always eager to learn new technologies and methods that can help me achieve my goals. I am also a strong communicator and presenter, able to convey technical concepts and results to diverse audiences.