Reese Davies
About Reese Davies
Reese Davies is a Statistician at Sandia National Laboratories with expertise in data visualization, financial data analysis, and machine learning techniques.
Current Employment at Sandia National Laboratories
Reese Davies is currently employed as a Statistician at Sandia National Laboratories in Albuquerque, New Mexico. He joined the organization in 2018. At Sandia, he focuses on applying statistical methods to a variety of complex datasets. His work includes utilizing data visualization techniques to aid in the interpretation of intricate data, helping improve decision-making processes within the laboratory.
Previous Experience with the United States Army Reserve
Prior to his current role, Reese Davies served as a Motor Transport Operator (88M) in the United States Army Reserve from 2012 to 2018. This experience likely contributed to his strong organizational and logistical skills, which he later applied in his professional statistician roles.
Education and Advanced Degrees
Reese Davies holds an impressive academic background. He earned a Master of Business Administration (MBA) with a focus on Finance and Financial Management Services from The University of New Mexico between 2019 and 2021. Additionally, he obtained a Master of Science (MS) degree in Applied Statistics from New Mexico State University in 2017 after completing another Bachelor's degree in Applied Mathematics at the same institution from 2008 to 2015. This robust educational foundation supports his expertise in statistical analysis and financial data interpretation.
Specialization in Data Visualization Techniques
Reese Davies specializes in data visualization techniques that enhance the interpretation of complex datasets. His expertise in this area is crucial for presenting data in a manner that is easily understandable, aiding stakeholders in making informed decisions. This specialization is particularly valuable in his current role, where interpreting large-scale data accurately is essential for various projects.
Expertise in Financial Data Analysis
Reese Davies has expanded his expertise to include financial data analysis and retirement asset management. His ability to quantify margins and uncertainties is crucial for conducting effective risk assessments in financial contexts. Additionally, his work involves the application of machine learning techniques to improve predictive analytics, thereby enhancing the accuracy and reliability of statistical projects.