Dana Kaplan

Dana Kaplan is an experienced data analyst, engineer, and scientist with a broad range of skills and expertise. Her coursework in Mathematics and Economics, combined with her Hoodie of Academic Achievement in Machine Learning & Data Science at Galvanize have given her a strong foundation in using technology and data insights to improve business operations. In her professional career, Dana has worked in various data-heavy roles with companies such as Komodo Health, Good Money, Mosaic, CircleUp, Augment, Scribd, Triggit, and Mediasmith. She has experience with data warehousing, SQL/HiveQL, data visualization, user profiling, clustering, and retention modeling, product feature testing, behavioral data mining, and forecasting. Kaplan has also worked on creating dashboards and periodic reports to empower anyone to explore their own data insights. As an advocate for data evangelism, she is committed to bringing people together to create accessible data insights throughout organizations.