Systems Thinking, Made Measurable.
I’m Alexander Deets, a Data Analytics student in Dallas. I turn real-world operations and human context into measurable insight that supports accurate, confident decisions.
How I Work
From Workflow to Metrics
I start by learning the workflow and what “good” looks like for the people doing the work. Then I translate that reality into definitions, metrics, clean data, and reporting that holds up in real conversations. My proving ground has been healthcare operations, where data sensitivity and scrutiny are part of the job. I’m building these skills through my Data Analytics degree and documenting the process here.
WHAT I DO
Synthetic Data, Real Artifacts
I use synthetic datasets to publish full end-to-end pipelines and dashboards.
What I’m Thinking
Testing Methods, Sharing Insights
I post on measurement choices, workflow lessons, and what I learn as I build.
What I Build
A Running Tally of Real Artifacts
Datasets Validated
Pipelines Built
Dashboards Published
Runs Automated
Each count maps to a real artifact (repo, dashboard, validation report, or run log).