Shelby M. McNeill

Shelby M. McNeill, PhD has a diverse work experience in the field of data science and research. Shelby M. currently works as a Data Scientist at Domo, Inc. where they consult clients on data science and machine learning projects. Their responsibilities include running advanced statistical models, productionizing model pipelines, building dashboards with statistical results, and hosting webinars on data science topics. Shelby M. also writes client-facing articles on how to use Domo data science products. Some of their notable projects at Domo include predicting employee turnover using XGBoost decision tree model, developing composite scores of donor engagement for a nonprofit foundation, and forecasting monthly company revenue using time series forecasting methods.

Prior to their current role, Shelby worked as a Graduate Research Assistant at Vanderbilt University from 2017 to 2022. During their time there, they published one paper in an academic journal and presented research findings at multiple conferences and government meetings. Shelby M. ran and interpreted the results of advanced statistical models and compiled large-scale datasets. Shelby M. also wrote reports, research briefs, and grant applications.

Shelby's previous experience includes working as an Adjunct Researcher at RAND Corporation from 2020 to 2021, and as a Research Assistant in Sociology at Brigham Young University from 2013 to 2017.

Shelby M. McNeill, PhD, has a strong educational background in sociology and data science & education policy. Shelby M. began their education at Utah Valley University, where they earned an Associate of Science degree in University Studies from 2010 to 2012. Shelby M. then continued their studies at Brigham Young University, obtaining a Bachelor of Science degree in Sociology from 2013 to 2015. Shortly after, they pursued a Master of Science degree in Sociology from Brigham Young University, completing it from 2015 to 2017.

Shelby's educational journey culminated in their pursuit of a Doctor of Philosophy degree in Data Science & Education Policy at Vanderbilt University. Shelby M. dedicated herself to this program from 2017 to 2022 and successfully obtained their PhD in May 2022.

With a well-rounded education in sociology and extensive knowledge in data science & education policy, Shelby M. McNeill, PhD, has the qualifications to excel in research and policy work related to these fields.