Tim Schweichler
About Tim Schweichler
Tim Schweichler is a Senior Data Scientist/Quantitative Analyst at Asurion with a diverse background in engineering and data science.
Current Role at Asurion
Tim Schweichler is currently a Senior Data Scientist/Quantitative Analyst at Asurion in the Greater Nashville Area, TN. He has been with the company since 2018. In this role, he has contributed to significant cost savings by enhancing demand forecasting and optimizing inventory processes. Tim brings a strong combination of technical skills and analytical expertise to the team.
Previous Experience at HealthiNation
From 2014 to 2018, Tim Schweichler served as the Head of Data Science at HealthiNation in the Greater New York City Area. During his tenure, he led data science initiatives and was responsible for leveraging data to drive business decisions. His background in both engineering and data science was instrumental in his contributions to the company.
Software Engineering Experience
Tim Schweichler has significant experience as a Software Engineer, having worked in various roles across different industries. He was a Software Engineer at Large Animal Games in 2013, at Aero Simulation, Inc. from 2008 to 2010, and at CAE from 2005 to 2008. He also had a brief stint as a Co-op at CAE in 2004. These roles allowed him to develop a range of technical skills applicable to both gaming and simulation industries.
Academic Background
Tim Schweichler holds a Master of Science in Music Engineering Technology from the University of Miami, earned between 2010 and 2012. He also completed a Bachelor of Science in Electrical Engineering with a focus on Audio Engineering at the same institution from 2001 to 2005. His academic background has provided him with a strong technical foundation, bridging the gap between engineering and data science.
Versatility Across Industries
Tim's career spans various roles in different sectors, including healthcare, gaming, and simulation. His versatility is evident in his ability to adapt his software engineering and data science skills to diverse environments. This adaptability underscores his capability to handle complex challenges across multiple industries effectively.