Caleb Ugorji

I’m a results-driven Data Analyst with 18+ months of healthcare analytics experience, focused on automated BI solutions, ETL pipeline optimization, and decision support through clear KPI visibility. I specialize in turning complex datasets into actionable insights that improve operational efficiency and strategic business decisions.

In my current role as a Data Analyst Intern at Hopkins Diagnostics and Laboratories, I designed and deployed 4+ automated Power BI dashboards delivering daily KPI reports for hospital leadership. I also optimized SQL query performance, improving refresh capability from weekly to real-time and reducing query execution time from 45+ seconds to 8–12 seconds.

I build reliable data workflows using Python (Pandas/NumPy) to automate ETL workflows and reduce error-prone manual processing. One automation effort reduced manual reconciliation work by 25 hours per month, while my collaboration across IT and clinical teams helped audit database structure and document 12+ data quality issues.

I also strengthen data products through exploratory analysis and stakeholder communication—translating findings into executive summaries and ad-hoc insights. Whether it’s cohort segmentation in freelance projects or interactive dashboard development, my approach is consistent: optimize pipelines, validate data, and deliver dashboards that teams can act on immediately.