What My Z-Score Indicator Taught Me About Chasing Better Numbers
What moving from HMA to KAMA taught me about Z-scores, backtest overfitting, market regimes, and the limits of better-looking results.
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Data Science &
Quantitative Research.
I build models, study market regimes, and explain the evidence.
Builder and operator of Regime Analytics.
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AI infrastructure: separating investment risk from a bubble story
How to examine AI capital spending, depreciation, cash flows and power constraints without treating a plausible risk scenario as a proven collapse.
From market mood to Regime Analytics
The retired economic-dashboard prototype that helped shape Erika Barker’s interest in predictive analytics and statistical market regimes.
Palantir and the price of moving faster
My military procurement experience helps me understand Palantir’s appeal. It also leaves me asking what faster decisions cost democratic accountability.
What the data says about the American middle class
How to interpret changes in middle-income population share without confusing income, wealth, money velocity or a prediction of national collapse.
Gradient boosting: how the trees learn together
An explanation of boosting, loss functions and regularization, with practical limits on interpretability and financial-model evaluation.
Miami housing risk: what the data can actually show
How to evaluate Miami housing affordability, inventory and local economic conditions without inventing a crash probability.
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Palantir writing cited by Forbes contributor Peter Cohan, August 2025.
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