IdeaSystem ImplementationInsight

I turn complex
data and regulations
into real-world impact.

I design and build AI and data solutions that solve real problems in finance, risk and regulation — from intelligent agents to machine learning systems.

View My Work Get In Touch

AI & Machine
Learning
Finance &
Regulation
End-to-End
Implementation
Real-World
Impact

Trusted
technologies

Python
SQL
AWS
Azure
LlamaIndex
Chroma
MLflow
Airflow
Docker
Power BI

02Featured projects

Real systems. Real impact.

View All Projects

Green glass shield with a gold check mark beside documents in a glass holder on marble

Banking Compliance Intelligence Agent

An agentic RAG system that reviews lending documents against regulation, retrieves evidence, evaluates uncertainty and escalates cases when human judgement is needed.

LlamaIndex
Chroma
MCP
Streamlit

Green glass bars of rising height with a gold trend line and a gold score gauge

Sentinel Credit

A BNPL risk intelligence platform for thin-file customers, combining modelling, monitoring, explainability and governance.

XGBoost
SHAP
MLflow
Power BI

A gold signal line passing through glass panels, with one small highlighted anomaly

Fraud Detection System

A production-style fraud pipeline built around cost-aware decisioning, explainability, champion-challenger testing and drift monitoring.

Python
XGBoost
MLflow
Airflow

03Expertise

Skills that
turn ideas into impact.

A blend of technical expertise, domain knowledge and practical implementation skills.

Python
Data analysis & ML
SQL
Data modelling · PostgreSQL
Machine Learning
Risk & fraud · MLOps
GenAI & Agents
RAG · LLMs · MCP
Cloud
AWS · Azure
Data Engineering
ETL · Airflow · Docker
Visualisation
Power BI · Streamlit
Domain Expertise
Finance · Risk · Regulation

04About

More than
a Data Scientist.

My work sits at the intersection of data science, machine learning and financial services. I spent three years in regulated banking, working across financial data, credit risk and compliance, before moving into data science and AI.

I bring that context into the way I design AI systems, so technical decisions stay connected to real operational problems. I care about systems that can be evaluated, explained, monitored and trusted, not just models that perform well in a notebook.

Before data science, I was a Data and Compliance Analyst at First Bank of Nigeria, auditing client data and supporting KYC and enhanced due diligence, and then a Financial Data Analyst and Credit Risk Officer at Access Bank, analysing customer and transaction data to support credit decisions.

I went on to complete an MSc in Data Science in London. Today I focus on fraud detection, credit risk and agentic AI for regulated environments — treating explainability, governance and deployment as part of the build rather than an afterthought.

05Insights

Ideas, learnings
and perspectives.

Notes on AI evaluation, agentic systems, data science and the decisions behind reliable intelligent systems.

Read Insights

First articles coming soon

06Contact

Let’s build
something meaningful.

I’m open to opportunities, collaborations and conversations across AI, data science, finance, risk and regulation.

Send a Message

I turn complexdata and regulationsinto real-world impact.

Real systems. Real impact.

Banking Compliance Intelligence Agent

Sentinel Credit

Fraud Detection System

Skills thatturn ideas into impact.

Python

SQL

Machine Learning

GenAI & Agents

Cloud

Data Engineering

Visualisation

Domain Expertise

More thana Data Scientist.

Ideas, learningsand perspectives.

Let’s buildsomething meaningful.

I turn complex
data and regulations
into real-world impact.

Skills that
turn ideas into impact.

More than
a Data Scientist.

Ideas, learnings
and perspectives.

Let’s build
something meaningful.