Criminologue & AML/CFT Compliance Officer based in Paris — currently learning Python and Machine Learning to apply data science to financial crime detection.
🇫🇷 Criminologue & Responsable conformité LCB-FT, en formation Data Essentials chez Jedha Bootcamp.
- 🕵️ Anti-Money Laundering (AML/CFT) — suspicious activity detection, typology analysis
- 📊 Data analysis applied to financial crime — Python, pandas, scikit-learn
- ⚖️ 11+ years in banking compliance (Western Union, ING, La Banque Postale, CITI)
aml-detection-saml-d — Machine Learning pipeline to flag suspicious transactions on the SAML-D dataset (800k transactions, 0.1% imbalance). Decision Tree retained with 43% recall.
Python pandas scikit-learn Jupyter Excel SQL (basics) Git · domain: LCB-FT KYC/KYB EDD Sanctions screening
- 📧 nashelycastillo02@gmail.com
- 📍 Paris, France
Open to opportunities in AML/Compliance roles bridging regulation and data.