Katie Pintar

Katie Pintar

Senior Analytics Engineer @ Seeq

About Katie Pintar

Katie Pintar is a Senior Analytics Engineer at Seeq Corporation, where she has worked since 2021. She has a background in chemical engineering and has held various engineering and research positions at companies such as 3M and the Smithsonian Institution.

Work at Seeq

Katie Pintar has been employed at Seeq Corporation since 2021, initially serving as an Analytics Engineer. In 2023, she advanced to the role of Senior Analytics Engineer, where she continues to contribute her expertise. Her work focuses on leveraging data analytics to enhance operational efficiency and decision-making processes within the organization.

Previous Experience at 3M

Katie Pintar held multiple positions at 3M, showcasing her diverse engineering skills. She worked as an Optimized Operations Engineer for nine months in 2016, followed by roles as a Manufacturing Technology Engineer from 2016 to 2018, and as an Advanced Chemical Process Development Engineer from 2018 to 2020. She also served as a Senior Chemical Process Development Engineer for one year, from 2020 to 2021. Her experience at 3M involved various engineering and process development tasks.

Research and Internship Experience

Katie Pintar has a background in research and internships that complement her engineering career. She worked as a Research Assistant at the Center for Biofilm Engineering from 2014 to 2015. Additionally, she completed a month-long internship at the Smithsonian Institution, Museum of Natural History in 2014, focusing on systematic entomology. She also participated in the Summer Institute for Biostatistics at Boston University in 2015, further enhancing her analytical skills.

Education and Expertise

Katie Pintar earned her Bachelor of Science (B.S.) degree in Chemical Engineering with a Minor in Statistics from Montana State University-Bozeman, completing her studies from 2012 to 2016. Her educational background provides a strong foundation in both engineering principles and statistical analysis, which she applies in her current role and previous positions.

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