Robert Kill
About Robert Kill
Robert Kill serves as the Data Science Lead at Quantum Workplace in Omaha, Nebraska, where he has worked since 2019. He holds a Master of Science in Natural Resource Sciences and has previously held positions at Oriental Trading Company and Businessolver, developing analytics platforms and predictive algorithms in the healthcare sector.
Work at Quantum Workplace
Robert Kill has served as the Data Science Lead at Quantum Workplace since 2019. In this role, he focuses on leveraging data analytics to enhance workplace performance and employee engagement. His expertise in data science contributes to the development of innovative solutions that support organizational goals. Quantum Workplace is located in Omaha, Nebraska, where Kill has been instrumental in driving data-driven decision-making processes.
Education and Expertise
Robert Kill holds a Master of Science (MS) in Natural Resource Sciences from the University of Nebraska, which he completed from 2011 to 2013. He also earned a Bachelor of Arts (BA) in Biology from the University of Nebraska at Omaha, graduating in 2010. His educational background provides a strong foundation in scientific principles and analytical skills, which he applies in his current role in data science.
Background
Prior to his current position, Robert Kill worked as a Senior Data Scientist at Oriental Trading Company, a Berkshire Hathaway Company, from 2015 to 2017. He also served as a Process Engineer at Businessolver from 2013 to 2015. His experience in these roles involved applying data analytics to improve processes and outcomes in various business contexts.
Achievements in Data Science
Robert Kill has developed the HATCX analytics platform within the Microsoft Azure framework, showcasing his technical skills in cloud-based data solutions. He also built the HATCX health risk assessment model, which demonstrates his ability to create predictive models that inform healthcare decisions. Additionally, he designed an algorithm that mines treatment paths and predicts the next medical procedure, further highlighting his contributions to the field of data science.