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Natalia Rosenfield, PhD, has diverse work experience in the field of data science and research. Natalia currently holds the position of Data Scientist II at YETI, starting in 2022. Prior to this, they worked as a Consultant in 2021, collaborating with AR department and principal data scientists at Boston Scientific. Natalia successfully built two machine learning models using a large sample dataset to predict invoice payment rates and identify potentially late payments.

Before their consultancy role, Natalia worked as an NLP Research Scientist at Content2Insight, Inc. in 2021. Natalia'sresponsibilities included utilizing state-of-the-art Natural Language Processing technologies to extract useful information from content, such as text summarization, topic analysis, sentiment analysis, and keyword extraction.

Natalia also has experience as a Graduate Research Assistant at the Machine Learning and Assistive Technologies Lab (MLAT), where they conducted research on assistive technology for individuals with Autism Spectrum Disorder. Natalia'sresearch focused on the benefits of using virtual reality environments in therapy and promoting neurodiversity. Natalia actively participated in the design of innovative diagnostic and therapeutic tools.

In 2018, Natalia worked as a Graduate Teaching Assistant at Chapman University, teaching business analytics and model building using Excel. Natalia had a high success rate with their students, and 94% of them successfully completed the course. Additionally, they have experience as a Data Scientist at Brandify in 2017, where they contributed to the development of an Automated Review Response project using machine learning and natural language processing techniques.

At Chapman University School of Pharmacy in 2017, Natalia served as a Graduate Research Assistant, conducting statistical analyses and predictive analytics to identify students at risk of not completing the Pharmacy program. Natalia showcased their findings through clear and informative reports presented at meetings and conferences.

Overall, Natalia Rosenfield, PhD, has a strong background in data science, NLP, research, and teaching in various industries, including healthcare, education, and technology.

Natalia Rosenfield, PhD, completed their education in a sequential manner. Natalia started their academic journey at Chapman University in 2013, where they obtained a Bachelor of Science (B.S.) degree in Mathematics and a Bachelor of Arts (B.A.) degree in Psychology in 2016. Following their undergraduate studies, they pursued a Master of Science (M.S.) degree in Data and Computational Sciences from Chapman University, completing it in 2017. Natalia then continued their education at Chapman University, focusing on Computational and Data Science, and successfully earned a Doctor of Philosophy (PhD) degree in 2020.

Additionally, Natalia obtained a certification in "Programming Foundations: Fundamentals" from LinkedIn in March 2022.