Fraud Analytics · Financial Crime · Risk Decisioning · Applied AI
I work at the intersection of fraud prevention, financial crime, security and data analytics, with a growing focus on explainable decisioning, intelligent automation and responsible AI.
My work and projects emphasize turning behavioral and transactional evidence into auditable decisions while balancing fraud detection, customer impact and operational constraints.
- Fraud analytics and behavioral risk signals
- Financial crime / AML analytics
- Explainable fraud controls and decisioning
- SQL and Python for analytical workflows
- Applied AI and agentic automation
- AI governance, security and human oversight
- DFIR and threat investigation
case06-financial-risk-decision-intelligence
Explainable Fraud Analytics, Entity Intelligence & Controlled Decisioning
Reproducible synthetic fraud analytics with authorization-safe temporal and entity features, explainable deterministic controls, customer-friction trade-offs, independent out-of-time validation, delayed-feedback monitoring and a governed read-only AI analyst assistant.
The project includes a self-contained five-scenario quick demo and explicit boundaries around leakage, customer impact, ML complexity and responsible AI.
Reproducible financial-crime analytics combining deterministic rules, backtesting, customer-aware evaluation, explainable ML and controlled AI-assisted architecture.
case02-reveal-dfir-volatility3-aml
Memory forensics and behavioral investigation with Volatility 3, Python/SQL, timeline reconstruction, IoCs and AML-oriented analytics.
case03-paloalto-rce-elastic-soc
Elastic/Kibana investigation of a simulated remote-code-execution incident using hypothesis-driven hunting, queries, timeline, IoCs and detections.
Evidence over intuition · Reproducibility · Explainability · Adversarial validation · Customer centricity · Responsible AI
I prefer simple, auditable solutions first and add complexity only when it demonstrates measurable incremental value.
Data: Python · SQL · Pandas
Fraud & Risk: behavioral analysis · rule engineering · backtesting · false-positive analysis · decisioning
Security: SIEM · DFIR · threat investigation · IoCs
Applied AI: LLM workflows · agentic systems · MCP · evaluation · governance