I track data until it turns into a decision.
Statistics graduate, current BS Business Analytics student, and three years into turning raw performance numbers into calls people actually act on — first in a classroom, now in business.
What I'm proving
I build working Python tools that translate rules — like AI governance frameworks such as the EU AI Act — into automated checks a technical hiring manager can actually run. If you're screening for technical analytics or governance-tooling roles, the one thing I want you to do is book a technical interview with me.
A resume or LinkedIn profile can list my statistics and business analytics background, but it can't prove I can turn a rule into working code — this portfolio does.
What I actually did with the data
Three years, 100+ students, one recurring question
As a Mathematics and Social Studies teacher, my job was never just teaching — it was watching test and assignment results term over term, spotting where a class was quietly falling behind, and changing the lesson plan before it became a bigger problem. I built tracking sheets to hold that data over time and reported patterns back to school leadership. It's the same loop a business analyst runs: collect, find the pattern, recommend a change, check if it worked.
Now doing the same thing with AI as a tool, not a shortcut
At FlyRank, I'm applying that instinct to generative AI workflows — using AI-assisted tools to audit and rebuild professional materials, refining prompts instead of accepting the first output, and treating every AI suggestion as something to verify, not something to trust blindly.
Where I'm strongest
Education
BS Business Analytics
Coursework building toward data-driven decision-making, applied on top of a quantitative statistics foundation.
BS Statistics
Regression analysis, hypothesis testing, inferential statistics, probability theory.