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Web Development
Production-grade websites and web apps: clear architecture, accessible interfaces, and a deployment path a team can actually own.
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Data Analytics
Before I wrote product software I read educational systems as a statistician. That discipline still shapes how I work: define the question, choose the method, show the evidence.
At MINED I spent two years designing how a school system would see itself: attendance, performance, gaps, trends. The job was never a chart. It was a decision that a director could defend.
The same method applies to a warehouse, a clinic or a municipal desk. Who needs to act, by when, and what would change their mind? From there: a clean definition, a responsible sample, a visualisation that survives a thirty-second reading.
I refuse vanity dashboards. If a metric will not change a shift, a budget or a protocol, it does not ship. Personal data that will not be used is not collected.
// deliverables
- Question framing and indicator dictionary
- Data cleaning and statistical reading
- Reports and visualisations for operators
- KPI structure next to the actual work
open a brief
If the operation is stuck, write.
If you are building a product, modernizing an operation or exploring a digital idea, I would like to hear about it.