Peter Boyd

Peter Boyd has a diverse work experience in the field of data science and statistics. Peter is currently working as a Senior Data Scientist and Consultant at New Light Technologies, where they support federal entities like the US Census Bureau by performing spatio-temporal analyses and developing machine learning models.

Prior to that, Peter worked as a Data Scientist at Fable from June 2022 to March 2023. Peter was responsible for conducting data analysis and applying statistical techniques to extract insights.

Peter also has experience working at Oregon State University, where they served as a Statistical Consultant from September 2019 to June 2022. In this role, they provided statistical guidance and support to researchers and students. Peter also worked as a Statistics Instructor/TA from September 2017 to August 2019, where they taught an online introductory statistics course and managed teaching assistants.

Before their time at Oregon State University, Peter worked as a Data Analyst at Yosemite National Park for a brief period in May 2017 to July 2017. Peter assisted park research scientists in data collection and analysis, with a focus on frequently visited areas.

Peter had an internship at Procter & Gamble in the Research and Development department from May 2016 to August 2016. As a Research and Development Data Analyst Intern, they contributed to data analysis projects, applied time series analyses, and collaborated with scientists to solve statistical problems.

In addition, Peter worked as a Data Analyst Research Fellow at Denali National Park in May and June 2015. Here, they created a research position and executed environmental statistical analyses using advanced techniques to study the impact of traffic on wildlife.

Overall, Peter Boyd has gained extensive experience in data science, statistical analysis, and consulting roles, and has contributed to various research projects and statistical problem-solving efforts throughout their career.

Peter Boyd has a strong background in statistics and actuarial science. From 2013 to 2017, they attended Purdue University, where they focused on actuarial science, applied statistics, and mathematical statistics. Following their undergraduate studies, Peter enrolled at Oregon State University in 2017 to pursue a Doctor of Philosophy degree in Statistics. Peter is expected to graduate in 2022.