Law-trained risk and compliance professional transitioning into AI governance, data governance, and risk-aware machine learning systems.

My background spans international law, regulatory compliance, financial crime investigations, and large-scale public sector program governance. I bring structured legal reasoning, audit-ready documentation experience, and system-level risk analysis into technology and AI-focused work.

• AI Governance & Responsible AI
• Data Governance & Risk Controls
• Financial Crime & Fraud Detection
• Model and Systems Risk Management
• Regulatory & Policy-Aware Technology Design

A supervised machine learning system built to identify fraudulent financial transactions using real-world structured datasets.

• Data preprocessing and feature engineering
• Model training and evaluation (precision/recall analysis)
• Risk-aware performance interpretation
• Streamlit deployment for interactive testing

🔗 Repository:
https://github.com/emmyjonny/credit-card-fraud-detection-ml-system

🔗 Live Demo:
https://credit-card-fraud-detection-klcjftpzqjodnnkuvnrynv.streamlit.app/

A secure Solidity smart contract implementing digital asset registration and ownership transfer with OpenZeppelin-based access controls.

• Ownership validation logic
• Event logging for transparency
• Security-conscious contract design
• Hardhat development framework

🔗 Repository:
https://github.com/emmyjonny/smart-contract-digital-asset-registry

Exploratory data analysis and visualization project examining patterns and trends using structured public datasets.

• Data cleaning and transformation
• Visual analytics
• Pattern interpretation and reporting

🔗 Repository:
https://github.com/emmyjonny/us-gun-violence-dashboard

Former AML Investigator with experience:

• Investigating sanctions and suspicious transaction alerts
• Conducting enhanced due diligence and OSINT analysis
• Producing high-volume audit-ready investigative narratives
• Strengthening monitoring controls and detection frameworks
• Coordinating regulator-facing documentation across jurisdictions

This foundation shapes my interest in building accountable, risk-aware, and policy-aligned AI systems.

Python
SQL
Machine Learning (scikit-learn)
Data Analysis (Pandas)
Streamlit
Solidity
Hardhat
Power BI

I am particularly interested in roles and collaborations at the intersection of:

• AI governance
• Risk management
• Compliance analytics
• Fraud and financial crime prevention
• Technology policy and regulatory systems

LinkedIn:
https://www.linkedin.com/in/emmanuel-jonathan1109/