I’m a data-driven problem solver with a multidisciplinary background in data science, economics, and engineering management. My expertise lies in leveraging analytics, machine learning, and systems thinking to drive innovation in manufacturing, supply chain optimization, and research-driven strategy. With experience in both industry and academic environments, I’ve developed predictive models to support public health decisions, optimized retail inventory systems, contributed to additive manufacturing research, and more. I hold two Master’s degrees and have hands-on skills in Python, R, SQL, Power BI, and advanced statistical modeling. My long-term vision is to launch a research and industry firm that integrates advanced manufacturing, AI, and project management to deliver high-impact solutions across biotechnology, economics, and industrial operations.