Experience

Human Factors Researcher

Federal Aviation Administration, April 2024 - Present

Run chi-square and t-test analyses to determine significant differences in flight crew performance in flight simulators.
Design and execute scientific experiments.
Build code infrastructure in R to automate, test and scale hundreds of statistical tests.

Unum, June 2021 - Present

Built a machine learning model to analyze gender-pay equity.
Used natural language processing for topic modelling to summarize open-ended survey questions.
Wrote an R script to extract relevant skillsets from online job requisition postings.
Deployed the first corporate social responsibility tableau dashboard enterprise-wide.
Wrote a Python script to analyze discrepancies between leave absence requests across two disparate systems.
Performed a continual chi-square analysis to analyze turnover rates for employees who received a salary adjustment.

Checkster, October 2020 - March 2021

Led a project to develop a machine learning algorithm to predict job performance from 360 degree reference-check scores.
Served as a consultant to advise clients on topics such as survey items, rating scales, benchmark analytics and scoring.
Created an internal wiki repository of centralized knowledge concerning best practices with regards to I/O psychology topics and principles.
Cluster-analyzed job classifications to streamline competencies.

Industrial/Organizational Solutions, Inc., September 2012 - September 2020

Consulted police & fire chiefs, HR managers and other key government officials on policies and practices in employee selection and minimizing adverse impact and bias in testing.
Compiled and produce rigorous statistical technical documentation for project work.
Built a dynamic feedback reporting system with R and Markdown to create automated customizable feedback reports for clients.
Built an interactive Shiny R user dashboard to import, pre-process, score, and summarize datasets containing written examination data.
Ran statistical analyses to drive organizational change including: ANOVA, t-test, chi-square, linear, multiple and logistic regression, correlations, factor and cluster analysis, etc.
Developed machine learning algorithms (regression) to set cut-scores on high-stakes employment tests administered nationally to over 100,000 candidates.

Volunteered from June 2022 through January 2025
Develop a Tableau Dashboard to streamline survey responses to monitor, in real time, volunteer sentiment.

Built a custom R package for annual membership data cleaning
Laid the foundation for a data infrastructure plan to help streamline the access and retention of sensitive data.

Investigated financing options, expected maintenance, and member interest in flying new aircraft types.
Performed data analysis on membership sentiment to establish long term strategy for the club.