I Built a BFIU-Compliant AML Detection System in Python (Here's Why the Kaggle Approach Doesn't Work

I Built a BFIU-Compliant AML Detection System in Python (Here's Why the Kaggle Approach Doesn't Work)

Most AML tutorials end with a confusion matrix and a 99% accuracy score. Here's why that doesn't work — and what I built instead. I've been working in fintech compliance data for a while. The one thing I kept noticing: every "fraud detection project" on GitHub or Kaggle uses the same dataset — the UCI credit card fraud dataset from 2013. It has 284,000 rows, 30 features labeled V1-V28, and approximately zero explanatory value for anyone who wants to understand how financial crime actually works. So I built something different. The problem with the standard approach Real transaction monitoring engines don't work like Kaggle competitions. They don't take a CSV, train a model, and output a probability score. They work like this: A rule engine runs first — deterministic, auditable, regulatory-cited rules that generate alerts Those alerts get scored and triaged by risk tier An ML layer reduces false positives among the high-risk alerts ...
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AML Portfolio

My Portfolio — Real Projects & Work


🏆 Kaggle Hackathon — Triagegeist (2026) Emergency Severity Index (ESI) Prediction Model

  • Built XGBoost classifier (300 estimators) on 80,000+ patient records
  • Merged multiple datasets: patient history, chief complaints
  • Target: ESI level prediction (1–5) for emergency triage automation
  • Tools: Python, Pandas, XGBoost, Scikit-learn

📊 Interactive Sales Dashboard Live Demo

  • Dark-themed interactive dashboard built with Chart.js
  • Revenue trends, regional breakdown, KPI visualization
  • Pure frontend — HTML, CSS, JavaScript
  • Tools: Chart.js, GitHub Pages

🧹 Data Cleaning Projects GitHub Repository

  • Real-world messy dataset cleaning with Pandas
  • Handling nulls, duplicates, type conversion, outliers
  • Tools: Python, Pandas, NumPy

💼 Fiverr — Freelance Data Services fiverr.com/mdmonsurhabib

  • Data Cleaning & Transformation
  • Excel to structured format conversion
  • HubSpot CRM data management
  • Business Dashboard creation

🏢 Industry Experience Summit Power Limited — Finance & Data

  • Transaction data analysis for operational reporting
  • Anomaly identification in financial records
  • Tools: Excel, SQL

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