Caroline Caldwell
About Caroline Caldwell
Caroline Caldwell is a Data Scientist at ExtraHop since 2020, specializing in machine learning techniques for cybersecurity. She holds a PhD in Astrophysics from Liverpool John Moores University and has extensive experience in data analysis and visualization.
Work at ExtraHop
Caroline Caldwell has been employed at ExtraHop as a Data Scientist since 2020. In her role, she specializes in utilizing machine learning techniques to enhance cybersecurity measures. She is also responsible for developing interactive data visualizations using Plotly, which help in effectively communicating insights derived from data analysis.
Education and Expertise
Caroline Caldwell holds a Doctor of Philosophy (PhD) in Astrophysics from Liverpool John Moores University, where she studied from 2012 to 2017. She also earned a Bachelor of Science (B.S.) in Astronomy from The University of Texas at Austin, completing her studies from 2009 to 2012. Additionally, she obtained a Bachelor of Arts (B.A.) in Classical Liberal Arts from St. John's College, where she studied from 2004 to 2008. Her expertise includes advanced statistical methods such as VGAE and PageRank, as well as orchestrating data workflows using Apache Airflow.
Professional Background
Before joining ExtraHop, Caroline Caldwell worked as a Data Scientist at Porch from 2018 to 2020. She also served as a Data Science Fellow at Insight Data Science for four months in 2018. Her academic career includes a position as a Post Graduate Research Scientist at Liverpool John Moores University from 2012 to 2017 and as a Teaching Support Officer from 2012 to 2015. Additionally, she worked as an Undergraduate Research Assistant at The University of Texas at Austin from 2010 to 2012 and as a Summer Public Outreach Intern in 2010.
Technical Skills
Caroline Caldwell possesses a range of technical skills relevant to data science and machine learning. She employs Amazon SageMaker for deploying machine learning models in production environments. Her work includes utilizing advanced statistical techniques and developing data visualizations to present complex data insights. She is proficient in orchestrating data workflows with Apache Airflow, which enhances the efficiency of data processing tasks.