Rosaline Su

Rosaline Su

Applied Data Scientist @ Sway AI

About Rosaline Su

Rosaline Su is an Applied Data Scientist currently working at SwayAI in Boston, Massachusetts. She has a background in Computer Science and Psycholinguistics, with previous experience at Pfizer and Wellington Management.

Work at Sway AI

Rosaline Su has been employed at Sway AI as an Applied Data Scientist since 2021. In this role, she applies her expertise in data science to develop innovative solutions and enhance data-driven decision-making processes. Her work focuses on leveraging advanced analytics to improve the company's offerings and contribute to its growth in the artificial intelligence sector.

Previous Experience at Pfizer

Prior to her current position, Rosaline Su worked at Pfizer as a Computer Scientist for a duration of five months in 2016. This role was based in the Greater Boston Area, where she contributed to projects that required a strong foundation in computer science and data analysis.

Research Assistant Co-op at Wellington Management

In 2018, Rosaline Su served as a Research Assistant Co-op at Wellington Management for six months. During this time, she supported research initiatives and gained practical experience in a collaborative environment, enhancing her analytical skills and understanding of financial data.

Education and Expertise

Rosaline Su holds a Bachelor of Science in Computer Science from Northeastern University, where she studied from 2014 to 2019. She furthered her education with a Master of Science in Electrical and Computer Engineering from Carnegie Mellon University, completing her studies in 2020. Her academic background combines computer science with psycholinguistics, equipping her with a diverse skill set.

Technical Skills and Specializations

Rosaline Su possesses strong skills in data visualization, particularly using D3.js and React. She also has expertise in building virtual reality models, utilizing tools such as Unity and Oculus Rift. These technical competencies enable her to create engaging and interactive data representations and applications.

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