Initial commit: BAF Lakehouse fraud detection pipeline

End-to-end LightGBM fraud detection pipeline built as an R package,
orchestrated by targets with data stored in MinIO via Apache Arrow.
Includes 6-layer Lakehouse architecture, class imbalance tournament,
formally tuned hyperparameters (PR-AUC 0.198), and Quarto RevealJS slides.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

R/baflakehouse-package.R

@@ -0,0 +1,9 @@
+#' baflakehouse: Lakehouse Workflow for the Bank Account Fraud Dataset
+#'
+#' Tools to ingest the Bank Account Fraud (BAF) Base dataset into a MinIO/S3-backed
+#' lakehouse, clean encoded missing values, and produce reproducible reporting
+#' artifacts orchestrated with targets.
+#'
+#' @docType _PACKAGE
+#' @name baflakehouse-package
+NULL

R/zzz.R

@@ -0,0 +1,10 @@
+# fix R CMD check notes for dplyr non-standard evaluation
+utils::globalVariables(c(
+  "fraud_bool", "outcome", "month",
+  "Fraud", "Legit", "Total", "Pct_Fraud",
+  "Outcome", "Month",
+  "prev_address_months_count", "current_address_months_count",
+  "bank_months_count", "session_length_in_minutes",
+  "device_distinct_emails_8w", "device_distinct_emails",
+  "intended_balcon_amount"
+))