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Rawan Najar
Data Scientist at Procter & Gamble
Professional Background
Rawan Najar is a highly accomplished data scientist with a strong foundation in systems science and industrial engineering. She currently applies her expertise at Procter & Gamble, where she leverages her analytical skills and extensive knowledge to enhance data-driven decision-making processes. With a rich background in research, Rawan has previously held roles as a Graduate Research Associate at various reputable institutions, including Mount Sinai Health System, ACHIEVE NY, and TeamWorld Inc. Additionally, her experience as a Summer Intern at PwC has equipped her with consulting knowledge and business acumen, allowing her to thrive in different work environments.
Education and Achievements
Rawan's academic journey reflects her dedication and commitment to excellence in the field of engineering. She earned her Doctor of Philosophy in Systems Science and Industrial Engineering from Binghamton University with an impeccable GPA of 4.0, showcasing her deep understanding of complex systems and her research capabilities. Prior to her doctoral studies, Rawan completed her Master’s Degree in the same field at Binghamton University, where she maintained a commendable GPA of 3.86. Her foundation in industrial engineering was established with her Bachelor of Engineering (BEng) degree from the Jordan University of Science and Technology, which provided her with the essential skills and knowledge to excel in her future studies and professional endeavors.
Throughout her academic career, Rawan has consistently pursued opportunities that have allowed her to cultivate her understanding of data analytics, systems engineering, and their applications in various industries. Her research projects have contributed to advancements in both theoretical and practical aspects of the field, emphasizing her capability to blend academic knowledge with real-world applications.
Achievements
Rawan’s journey is not only defined by her academic accolades but also by her numerous contributions to the field of data science and systems engineering. As a data scientist at Procter & Gamble, she actively engages in projects that require innovative solutions driven by data analysis and interpretation. Her role involves utilizing sophisticated modeling techniques and machine learning algorithms to optimize processes, improve product quality, and enhance overall operational efficiency.
Before joining Procter & Gamble, Rawan made significant strides in her research roles; at Mount Sinai Health System, she contributed valuable insights that aided in various health-related projects, applying her quantitative analysis skills to support healthcare improvements. At ACHIEVE NY and TeamWorld Inc., she was involved in research initiatives that further developed her ability to analyze large datasets and generate actionable conclusions. Her internship at PwC not only provided her with practical consulting experience but also allowed her to hone her teamwork and communication skills, essential for any professional environment.
Rawan Najar stands out as an exemplary figure in the fields of data science and industrial engineering, combining rigorous academic training with substantial practical experience. Her unique blend of education and applied research positions her as a valuable asset in any organization focused on leveraging data for strategic growth and operational excellence.