Simulation & Decision Modeling
Make uncertainty, alternative scenarios, and complex decision pathways explicit so choices can be evaluated more carefully.
How This Service Helps
Some decisions cannot be represented well by a single average or point estimate. They involve uncertainty, timing, competing pathways, or assumptions that may change the preferred option.
I help translate those structures into decision-analytic models, microsimulation, Monte Carlo simulation, Markov models, and sensitivity analyses. Each model is built around a defined question, transparent inputs, and a practical interpretation of the results.
This supports scenario planning, economic evaluation, threshold discussions, and a clearer understanding of which assumptions deserve the most scrutiny.
What I Can Help With
Questions This Work Can Help Answer
- Which assumptions have the greatest effect on the decision?
- How do outcomes change across plausible scenarios?
- What information would reduce uncertainty most?
- At what threshold would the preferred option change?
- How should a complex model be explained to decision-makers?
How I Approach the Work
Start with the
business question.
Clarify the decision, available data, stakeholders, and what a useful outcome looks like.
Build the
evidence.
Prepare, explore, validate, and analyze the data using methods appropriate to the question.
Connect analysis
to the business.
Turn findings into clear implications, tradeoffs, and decision-relevant insights.
Make the work
usable.
Deliver the appropriate dashboard, report, model, analysis, or recommendation.
Tools & Methods
Have a similar analytics challenge?
Let's discuss the business question, available data, and what a useful analytical deliverable could look like.
Discuss Your Project