Lindsey K. Gamard
About Lindsey K. Gamard
Lindsey K. Gamard is a Senior Data Analyst with extensive experience in data analysis and curriculum development. She has worked at Keap and StrongMind, and holds multiple degrees in Mathematics, Curriculum and Instruction, and Physics.
Current Role as Senior Data Analyst
Lindsey K. Gamard currently holds the position of Senior Data Analyst at Keap, a role she has occupied since 2023. In this capacity, she focuses on analytics engineering, particularly in creating new data models and building data pipelines from scratch. Her expertise includes rebuilding product data models with an emphasis on backend product data using dbt. This role allows her to leverage her extensive background in data analysis and product analytics.
Previous Experience at Keap
Prior to her current role, Lindsey worked at Keap as a Product Data Analyst from 2021 to 2023. During her tenure, she contributed to various data-driven projects, enhancing the company's analytical capabilities. Her experience at Keap built upon her previous roles and solidified her expertise in data analysis within a product context.
Experience at StrongMind
Lindsey's career at StrongMind spanned multiple roles. She began as a Math Curriculum Developer from 2016 to 2019, followed by a position as Data Analyst / Curriculum Specialist from 2019 to 2021. In 2021, she briefly served as a Data Scientist for five months. These roles allowed her to develop a strong foundation in data analysis and curriculum development, contributing to her overall expertise in the field.
Educational Background
Lindsey holds two Master's degrees from Arizona State University, one in Mathematics (2013-2015) and another in Curriculum and Instruction (2005-2006). Additionally, she earned a Bachelor's degree in Physics from the University of Arizona from 2001 to 2005. This educational background provides her with a strong analytical foundation and a diverse skill set applicable to her roles in data analysis and curriculum development.
Achievements in Data Analytics
Lindsey won a hackathon project for best internal use case, where she utilized OpenAI's Curie model with non-negative matrix factorization to predict customers' industry based on their website text. This achievement highlights her innovative approach to data analytics and her ability to apply advanced techniques to real-world problems.