Sarah Kreidler
About Sarah Kreidler
Sarah Kreidler serves as the Lead Data Scientist at Swell Energy, where she applies her extensive experience in machine learning and statistical analysis. With a background in renewable energy, environmental, and biomedical research, she has held various roles in data science and software engineering across multiple organizations since 2004.
Work at Swell Energy
Sarah Kreidler serves as the Lead Data Scientist at Swell Energy, a position she has held since 2023. In this role, she utilizes her expertise in machine learning and statistical analysis to support the company's initiatives in the renewable energy sector. Her responsibilities include translating complex data into actionable insights, which is essential for driving decision-making processes within the organization.
Education and Expertise
Sarah Kreidler has a solid educational background in biostatistics and computation. She earned a Doctor of Philosophy (Ph.D.) in Biostatistics from the University of Colorado Denver, completing her studies from 2009 to 2014. Additionally, she holds a Master's degree (M.S.) in Biostatistics from the same institution. Earlier, she achieved a Doctorate in Physical Therapy from the University of Pittsburgh, where she studied from 2005 to 2008. Her academic training supports her extensive experience in data science and statistical analysis.
Background
Sarah Kreidler has a diverse professional background that spans various roles in data science, software engineering, and research. She began her career as a Software Engineer at J.D. Power and Associates in 2008. Over the years, she has worked in multiple capacities, including Senior Data Scientist at Sunrun and Senior Machine Learning Engineer at Omnidian. Her experience also includes significant roles at the University of Colorado Anschutz Medical Campus, where she contributed as a Research Assistant, Biostatistician, and Assistant Professor.
Achievements
Throughout her career, Sarah Kreidler has developed a strong skill set in machine learning and statistical analysis, which are crucial for her current role in the renewable energy sector. She has extensive experience in renewable energy, environmental, and biomedical research, which complements her work at Swell Energy. Her passion for translating data into actionable insights and writing high-quality software has been a key aspect of her contributions in the field of data science.