Lauren Kendrick

Lauren Kendrick

Machine Learning Engineer @ Liftoff Mobile

About Lauren Kendrick

Lauren Kendrick is a Machine Learning Engineer currently working at Liftoff Mobile in Seattle, Washington. She has a diverse background in data science and research, having held positions at notable organizations such as Meta, KPMG, and RAND Corporation.

Work at Liftoff Mobile

Lauren Kendrick has been employed at Liftoff Mobile as a Machine Learning Engineer since 2023. In this role, she focuses on developing and implementing machine learning models to enhance mobile marketing strategies. Her work contributes to optimizing user engagement and improving campaign performance.

Previous Experience at Meta

Prior to her current position, Lauren worked at Meta as a Research Data Scientist from 2021 to 2023. During her tenure, she engaged in data analysis and model development, contributing to projects that leveraged large datasets to inform product decisions and improve user experiences.

Education and Expertise

Lauren holds a Doctor of Philosophy (Ph.D.) in Public Policy Analysis from Pardee RAND Graduate School, where she studied from 2012 to 2018. She also earned a Bachelor's degree in Engineering Physics/Applied Physics from Caltech, completing her studies from 2007 to 2011. Her education has equipped her with skills in geospatial analysis, network analysis, and advanced optimization techniques.

Background in Data Science

Lauren has a diverse background in data science, having held various positions across multiple organizations. She served as a Senior Data Scientist at KPMG from 2020 to 2021 and as a Data Scientist from 2019 to 2020. Additionally, she was a Data Science Fellow at Insight Data Science in 2018, where she further honed her analytical skills.

Research Experience at RAND Corporation

From 2012 to 2018, Lauren worked at RAND Corporation as an Assistant Policy Researcher and concurrently as a Graduate Fellow at Pardee RAND Graduate School. In these roles, she conducted research that informed policy decisions, utilizing her expertise in statistical modeling and data analysis.

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