Keegan Johnson

Worked with clients on a freelance basis for small and mid-sized businesses and entrepreneurs to enhance data insights and reporting capabilities. Enhanced data architectures of SMBs utilizing PBI, Azure DF, R/Python for statistical analysis, dbt/PostgreSQL for ETL and hosting, and similar back-end development.

Restored and relaunched two critical HR dashboards (TA and BU-Headcount), enhancing recruitment analytics visibility. Modernized semantic data models underpinning key HR reports, significantly improving data accuracy.

Managed modernization of Power BI applications for Workforce Planning, Talent & DEI, and Employee Relations. Enhanced strategic analytics visibility for 5 Workplace Investigation councils.

Automated HR KPI migration from legacy systems to self-service Power BI dashboards. Streamlined EEO/FLSA reporting, reducing report-generation time by 20%.

Boosted HRBP engagement through analytics-driven learning metrics and KPI dashboards. Delivered workforce forecasting analyses for DEI goals, supported by comprehensive market research.

Led ML projects on voluntary attrition, reducing departmental attrition rates by 5%. Developed commuting analytics dashboards, resulting in a 20% increase in remote-work adoption.

Developed predictive attrition model, decreasing turnover by 4%. Served as administrator and primary point of contact for the HR analytics SQL Server database, managing schema changes, table updates, and user access.

Worked with clients on a freelance basis to enhance data insights and reporting capabilities. Enhanced data architectures utilizing Power BI, Azure Data Factory, R/Python for statistical analysis, and dbt/PostgreSQL for ETL and hosting.

Grade: 3.8

Focused on advanced economic research methods, including econometrics, statistics, and data science. Achieved a GPA of 3.8.

Grade: 3.4

Studied core economic principles such as microeconomics, game theory, and regression analysis. Completed a minor in Mathematics and maintained a GPA of 3.4.