Data scientist + analyst

Turning Complex Data Into Clear Decisions

Data scientist and analyst specializing in interactive dashboards, statistical analysis, machine learning, and decision-support tools.

PythonSQLTableauPower BIAWSMachine LearningStatistical ModelingStreamlitPythonSQLTableauPower BI
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Purpose: clarity

A practical approach to analytics

I turn ambiguous questions, fragmented operational data, and complex models into tools people can actually use.

My work spans defense sustainment, business transformation, pricing, and football analytics. The common thread is straightforward: understand the decision first, build the right analysis, and communicate the result without hiding behind complexity.

Field notes

Recent writing

Practical notes on applied analytics, dashboard design, and decision-making.

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Designing Dashboards Around Decisions, Not Metrics

A practical framework for deciding what belongs on the screen.

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02

What Play-Calling Tendency Can and Cannot Tell You

How to use situational splits without losing the game context.

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03

Show the Decision, Not Just the Code

How to make an analytics portfolio more credible and useful.

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