Nikki Lee
About Nikki Lee
Nikki Lee is a data scientist currently working at Notion in New York. She has extensive experience in data science and analytics, having held positions at Visa, Spotify, and Bain & Company, and holds degrees in Psychology and Statistics from the University of California, Berkeley.
Current Role at Notion
Nikki Lee currently serves as a Data Scientist at Notion, a position she has held since 2022. Based in New York, New York, she utilizes her expertise in data science to contribute to the company's objectives. Her role involves applying machine learning techniques and data analysis to support decision-making processes within the organization.
Previous Experience at Spotify
Nikki Lee has held multiple roles at Spotify. She worked as a Data Scientist from 2018 to 2020, where she focused on data-driven projects. Subsequently, she advanced to the position of Data Science Manager from 2021 to 2022, overseeing data science initiatives and leading analytics teams. Her tenure at Spotify spanned a total of four years, during which she developed skills in data visualization and storytelling.
Career Background at Visa
Nikki Lee has significant experience at Visa, where she worked in various capacities. She began as a Project Management Intern in 2014, followed by a role as a Business Analyst from 2015 to 2016. She then transitioned to a Senior Product Analyst position from 2016 to 2017. Her time at Visa provided her with a strong foundation in product analysis and business strategy.
Educational Background
Nikki Lee holds a Bachelor of Arts (B.A.) in Psychology and a Bachelor of Arts (B.A.) in Statistics from the University of California, Berkeley. She furthered her education by obtaining a Master of Information & Data Science from the UC Berkeley School of Information in 2017. Her academic background supports her analytical skills and understanding of data science principles.
Skills and Expertise
Nikki Lee is skilled in fostering partnerships and cross-functional relationships within organizations. She emphasizes the importance of machine learning combined with human interpretation for effective problem-solving. Additionally, she focuses on the impact of data visualization and storytelling in decision-making processes, demonstrating her commitment to enhancing analytics capabilities.