Technical depth
Data science and engineering training is how I design models, pipelines, and visualizations that can be explained — and rerun — after hand-off.
About
Gunner Tillemans
Founder & Principal Analyst
I started Vantage Point Analytics because the same pattern shows up almost everywhere: plenty of data, not enough clarity. Teams have reports. They still argue about the number. Or they want machine learning before they can trust last month.
I work directly with you. We agree on the decision that matters, build the smallest system that answers it well, and document it so your team can run it when I am gone.
Where this practice comes from
For the past four years I have been at Arizona State University, currently as Assistant Director of Strategic Financial Planning and Integration in EOSS Budget Planning and Analysis. I joined in 2022 as a Data Analysis Specialist supporting fiscal and HR operations, and the work has grown with the organization.
Day to day I build dashboards and provide the analysis leadership uses across the business — HR, operations, housing and dining, and the functions that sit around them. The test is simple: if people do not trust the number, they will not use the view. That has shaped how I scope client work. Shared definitions first. Then the visual. Then, only when the decision is real, a model.
This is a solo practice on purpose. You get the person doing the work — someone who still sits inside a large institution and has to make analysis hold up with operators, not just analysts.
Education
The technical work is grounded in data science. The recommendations are grounded in economics, and in learning how institutions actually decide.
Master of Science
Data Science, Analytics and Engineering
Ira A. Fulton Schools of Engineering, Arizona State University
Master of Business Administration
In progress — expected December 2027
W. P. Carey School of Business, Arizona State University
Bachelor of Science, 2022
Triple major: Data Science, Economics, and Political Science
Arizona State University · Double minor: Philosophy and Communication
Why this background matters
Business context
Economics plus four years inside university financial planning means I start from the decision and the constraint, not from a chart type or an algorithm.
Clear communication
Philosophy and communication are not decoration. Recommendations have to survive a meeting with operators who will not give you a second chance if the numbers feel slippery.
How I work
Clarity first
If we cannot state the decision in a sentence, we are not ready to build. I would rather send you away with a sharper question than a dashboard nobody uses.
Outcomes over outputs
A model in a notebook is not a deliverable. A score in a workflow, with an owner and a way to tell if it helped, is.
Direct partnership
You work with me. No account manager, no junior handoff. I will tell you when something is out of scope or not worth doing.
If this sounds like the right fit, let's talk.
A discovery call is enough to decide whether a dashboard, a model, or a sharper definition of the problem is the next step.