Ivy Pan
About Ivy Pan
Ivy Pan is a Data Scientist at Notion, where she has worked since 2022, focusing on product growth strategies. She has over seven years of experience in data analysis across various sectors, including finance and technology.
Work at Notion
Ivy Pan has been employed at Notion as a Data Scientist since 2022. In this role, she focuses on product growth strategies that relate to monetization, expansion, and the creator community. Her work involves analyzing data to identify opportunities for enhancing product offerings and driving user engagement. Ivy's contributions are integral to Notion's efforts in leveraging data for strategic decision-making.
Previous Experience in Data Science
Before joining Notion, Ivy Pan held several positions as a Data Scientist. She worked at Coatue Management for 9 months in 2018, followed by a year at Via from 2019 to 2020. She then spent one year at Holocene Advisors, LP from 2021 to 2022. Additionally, Ivy worked at CKM Advisors from 2016 to 2018. These roles provided her with extensive experience in analyzing diverse datasets across various sectors, including finance and technology.
Education and Expertise
Ivy Pan earned her Bachelor of Science (B.S.) degree in Operations Research from Columbia University, where she studied from 2012 to 2016. Her educational background laid the foundation for her analytical skills and expertise in data science. Additionally, she completed her high school education at Hunter College High School, obtaining her diploma in 2012.
Internship Experience
Ivy Pan has gained valuable experience through various internships. She worked as a Research Intern at Columbia University Medical Center in two separate instances, first from 2011 to 2012 for 6 months and again in 2013 for 3 months. She also served as a Hate Crimes Intern at OCA in 2013 for 3 months. These internships contributed to her understanding of research methodologies and data analysis.
Professional Skills and Interests
Ivy Pan has over 7 years of experience working with diverse datasets in consulting, finance, and technology industries. She enjoys finding creative solutions to complex problems through data analysis. Her skill set includes expertise in data-driven decision-making, product growth strategies, and the application of analytical techniques to enhance business outcomes.