About
About Sayr
I’m Sayr Olivares. I work at the intersection of analysis, operations, and automation, using data to make day-to-day decisions clearer and systems easier to run.
My work combines Python, data analysis, mathematics, business context, and process thinking to turn messy information into something useful for teams. I’m also building Diverum, an automation business focused on helping clinics in Bogota reduce manual work and run better systems.
Approach
How I work
- I build repeatable reporting workflows for operations, growth, and performance tracking.
- I look for signal in noisy datasets and explain findings in plain language.
- I bring a systems mindset from automation and technical leadership into analysis work.
Scope
What you’ll find here
This site is where I publish case studies, lightweight data projects, and notes on reporting, process, and analysis. The goal is practical work, not theory for its own sake.
Stack
Tech and quantitative foundation
Python
Python for analysis, scripting, and workflow automation.
- Pandas for data cleaning, transformation, and reporting workflows.
- Matplotlib for charts, analysis visuals, and reporting output.
- Seaborn for statistical plots and faster exploratory analysis.
Mathematics
The quantitative base I use to reason through analysis and decisions.
- Statistics for interpretation, summaries, distributions, and evidence.
- Probability for uncertainty, expected outcomes, and risk thinking.
- Calculus for rate-of-change intuition and modeling foundations.
Business
Diverum
Diverum is my ongoing business focused on automation for clinics in Bogota. The work centers on reducing repetitive administrative effort, improving internal processes, and building practical systems that help clinics operate more consistently.
Links