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>

_quarto.yml

@@ -0,0 +1,24 @@
+project:
+  type: default
+  output-dir: reports/slides
+  render:
+    - index.qmd
+
+format:
+  revealjs:
+    theme: simple
+    slide-number: true
+    incremental: true
+    controls: true
+bibliography: references.bib
+csl: ieee.csl
+
+execute:
+  echo: false
+  warning: false
+  message: false
+
+knitr:
+  opts_chunk:
+    out.width: "100%"
+    fig.align: "center"