KJHealth Insurance Agent / Patient Advocate / Remote

Graduate IT student building practical technical skills

Master's candidate in Information Technology at East Carolina University, focused on hands-on learning and preparing for an entry-level IT role.

Work samples

A collection of class projects, labs, and practice work from my master's program that demonstrate the technologies and problem solving Im learning.

  • Digital Wellbeing Project
    Digital Wellbeing Project

    Analyzed a 500-person survey dataset to examine how social media usage predicts stress, sleep quality, and happiness, using Excel (validation, pivot tables), SQL/SQLite (aggregation), and Python (pandas, seaborn, scikit- learn). Built a Random Forest model predicting stress levels (R² = 0.517, MAE = 0.87) and translated findings into summaries for non-technical audiences.

    ExcelSQLSQLitePythonpandasseabornscikit-learn

About me

Master's candidate in Information Technology at East Carolina University, focused on hands-on learning and preparing for an entry-level IT role.

I am Krysten Jefferson, a graduate student in Information Technology at East Carolina University pursuing a masters degree. I have limited professional experience and am preparing to begin my career while building skills and academic projects in IT.

Experience

Health Insurance Agent — Balance Benefits Group

Balance Benefits Group · 2023 – 2025

Patient Advocate — ChartSpan

ChartSpan · 2023 – 2024

Remote Call Center Representative — NexRep (Teladoc Health)

NexRep (Teladoc Health) · 2020 – 2023

Guest Advocate, Women's & Kids' — Target

Target · 2018 – 2020

Education

East Carolina University

M.S. in Health Informatics and Information Management · Class of 2028

University of Maryland

B.S. in Psychology, Minor in Data Science · Class of 2023

Skills

Information Technology fundamentalsGraduate-level courseworkAcademic project workTechnical problem solvingPreparing for entry-level IT roles

Digital Wellbeing Project

Analyzed a 500-person survey dataset to examine how social media usage predicts stress, sleep quality, and happiness, using Excel (validation, pivot tables), SQL/SQLite (aggregation), and Python (pandas, seaborn, scikit- learn). Built a Random Forest model predicting stress levels (R² = 0.517, MAE = 0.87) and translated findings into summaries for non-technical audiences.

ExcelSQLSQLitePythonpandasseabornscikit-learn
View all work