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About

Gunner Tillemans

Founder & Principal Analyst

I started Vantage Point Analytics because I kept seeing the same problem: plenty of data, not enough clarity. Teams have reports, but they still argue about which numbers are right. Others want machine learning before they can trust last month's results.

I work with you directly. We agree on the decision that matters most, build the simplest system that answers it, and document everything so your team can keep it running after the project ends.

Where this practice comes from

For the past four years I have worked 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 finance and HR operations, and my role has grown with the organization.

Day to day, I build the dashboards and analysis leaders use across HR, operations, housing and dining, and the teams that support them. The test is simple: if people do not trust a number, they will not use the report. That shapes how I scope client work. Agreed definitions come first, then the dashboard, and then a model only when there is a real decision behind it.

This is a solo practice by design. You work with the person doing the work: someone who still sits inside a large organization and has to make analysis hold up in front of everyday staff, not just other analysts.

Education

The technical work comes from data science. The recommendations come from economics and from studying how organizations make decisions.

  1. Master of Science

    Data Science, Analytics and Engineering

    Ira A. Fulton Schools of Engineering, Arizona State University

  2. Master of Business Administration

    In progress — expected December 2027

    W. P. Carey School of Business, Arizona State University

  3. Bachelor of Science, 2022

    Triple major: Data Science, Economics, and Political Science

    Arizona State University · Double minor: Philosophy and Communication

Why this background matters

Technical depth

My training in data science and engineering is how I build models, pipelines, and dashboards that can be explained clearly and run again after the handoff.

Business context

Economics and four years inside university financial planning mean I start with the decision and the budget behind it, not with a chart type or an algorithm.

Clear communication

My background in philosophy and communication is not decoration. A recommendation has to hold up in a room full of people who stop listening the moment the numbers look shaky.

How I work

Clarity first

If we cannot state the decision in one sentence, we are not ready to build. I would rather leave you with a sharper question than a dashboard no one opens.

Outcomes over outputs

A model no one uses is not a finished product. A prediction built into daily work, with an owner and a way to measure results, is.

Direct partnership

You work with me. There is no account manager and no junior analyst taking over partway through. I will tell you plainly when something is outside the scope or not worth doing.

You own the work

Every dashboard, model, and document I produce belongs to you, documented as it is built. I am happy to maintain it, but you are never locked in and it is ready to hand off at any time.

If this sounds like the right fit, let's talk.

A short call is usually enough to tell whether a dashboard, a model, or a clearer definition of the problem is the right next step.