Temporal partitioning and backtesting for time-correlated datasets

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.

Production-aware credit-card fraud detection. Temporal splits, cost-sensitive thresholds, calibrated probabilities, Optuna tuning, and a Streamlit dashboard.

Reproducible temporal-validation pipeline for suicidal-ideation prediction in employed U.S. adults across 2015-2023 NSDUH data.

machine learning-based crop yield prediction with advanced feature engineering, temporal validation (1997–2020), model comparison, ablation study, and interactive Streamlit deployment.

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.

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