ICU holds 48.7% of all admitted bed-days at this hospital.
Work
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Hospital Operations Analysis
Where demand and resource pressure concentrate, across 5,000 visit records profiled and cleaned in MySQL.
MySQL
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Bank Customer Churn Analysis
The 46–60 age group leaves at 2.5 times the base rate of 20.37%, in all three markets, across 10,000 customer records.
Google Sheets
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BilanX
Saliva-based hormone monitoring: many readings through the day rather than one sample in a clinic. At the ideation stage, with no prototype and no performance evidence yet.
Concept
Writing
I write at Oscar’s Space about data, and about working things out in my thirties.
About
I work on operational data that arrives messy. I profile before changing anything, record every cleaning decision with the reason for it, and flag what I have chosen not to fix rather than quietly correcting it. Where a figure excludes something, the exclusion is stated next to the figure.
Tools
- Databases and SQL
- MySQL, BigQuery, CTEs, window functions, profiling and validation
- Analysis and reporting
- Power BI, Google Sheets, Excel, segmentation, descriptive statistics
- Also
- Python, R, Git, data dictionaries, data-quality logs
Education
- MSc Information Technology University of Derby, 2024
- BSc Computer Engineering Technology North American University, 2018
- Google Data Analytics and Google Project Management certificates