Christina Heidt

Christina Heidt

Senior Data Scientist @ Swish

About Christina Heidt

Christina Heidt is a Senior Data Scientist at Swish Analytics, where she has worked since 2022. She has a strong background in physics and data science, with previous roles at Insight Data Science and the University of California, Riverside.

Work at Swish

Christina Heidt has been employed at Swish Analytics as a Senior Data Scientist since 2022. In this role, she contributes to data analysis and modeling efforts, utilizing her expertise in data science to support various projects. Her position is based in the San Francisco Bay Area, where she collaborates with other data professionals to enhance analytical capabilities.

Education and Expertise

Christina Heidt holds a PhD in Physics from the University of California, Riverside, where she studied from 2009 to 2017. Her doctoral research focused on generating well-behaved beams of muons for future particle accelerator development. Additionally, she earned a Master of Science in Condensed Matter and Materials Physics from Indiana University of Pennsylvania from 2007 to 2009. She also studied at Imperial College London from 2013 to 2016, further expanding her knowledge in Physics.

Background

Prior to her current role, Christina Heidt worked as a Fellow at Insight Data Science for six months in 2018. During this fellowship, she consulted with the city of San Diego to improve the efficiency of first responder deployment through data-driven strategies. She also served as a Graduate Student Researcher at the University of California, Riverside from 2010 to 2017, where she developed unique data structures and machine learning algorithms to address dynamic experimental conditions.

Achievements

Throughout her career, Christina Heidt has utilized a combination of pandas and Scikit-Learn, along with custom solutions, to achieve accurate measurements in experimental physics research. Her work has contributed to advancements in data analysis techniques within the field of physics, particularly in experimental settings.

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