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R Shiny dashboard demonstrating validation-first analytics for clinical trial duration forecasting. Random split R² = 0.84 vs time-based R² = 0.04—why validation strategy matters more than model selection.
Reproducible ML pipeline evaluating temporal leakage in Expected Pass Turnovers (xPT) models for football analytics. Compares 4 algorithms (mixed-effects logistic, penalised logistic, random forest, XGBoost) across leakage-inclusive and leakage-corrected feature sets. Supporting code for manuscript under review.
machine learning-based crop yield prediction with advanced feature engineering, temporal validation (1997–2020), model comparison, ablation study, and interactive Streamlit deployment.
Drift-aware training window extension assessment for production ML pipelines. Claude Code skill.
Temporal cross-validation for insurance pricing - respects policy time structure, CatBoost, Polars
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