My education combines technical training with the study of human behavior at work. Earlier coursework in web development and programming built a foundation in data and systems, and my graduate work in psychology puts that foundation to use on organizational problems.
Purdue University Global (MS Psychology October 2025 to Present (Expected Completion Date: April 2027))
Currently pursuing an advanced degree focused on the scientific study of human behavior in the workplace. My studies emphasize the application of psychological principles to solve organizational challenges and improve the work environment.
Current Focus Areas
Organizational Behavior: Analyzing individual and group dynamics to enhance performance and culture.
Research & Analytics: Developing skills in statistical analysis and research methods to drive data-informed decision-making.
Human Resources: Studying the lifecycle of employee management, including selection, training, and performance appraisal.
Southern New Hampshire University (BA General Studies August 2020 to September 2025)
A multidisciplinary degree that combined liberal arts critical thinking with rigorous technical training in programming and data logic.
Key Takeaways for Psychology
Python for Data Analysis: Gained extensive experience utilizing Python to process and interpret large datasets. I use this programming background to automate data cleaning and run complex statistical analyses that go beyond standard software capabilities.
Computational Logic: Applied algorithmic thinking to organize unstructured information, a skill I now use to manage complex behavioral data and survey results.
Evidence-Based Decision Making: Transformed theoretical problems into code-based solutions, establishing the technical framework needed for modern People Analytics and evidence-based management.
Wake Technical Community College (AAS Web Development August 2018 to August 2020)
Focused on the intersection of web interfaces and backend functionality. While covering full-stack technologies, my primary focus was on utilizing Python for server-side automation and functionality.
Key Technical Skills
Python Scripting: Extensive practice writing clean, efficient Python code to handle server requests—skills I now apply to cleaning and processing large organizational datasets.
Problem Solving: Used programmatic logic to troubleshoot code, a direct parallel to diagnosing organizational issues and debugging statistical syntax.
Scalable Solutions: Learned to build code that scales, ensuring that the data solutions I propose for organizations are robust and sustainable.
The Honking Goose 