Data Scientist

I am a Data Scientist with more than five years of experience delivering end-to-end machine learning solutions, from raw data ingestion and feature engineering through evaluation, deployment, and stakeholder adoption.

I specialize in risk modeling, anomaly detection, forecasting, and rigorous model evaluation. I focus on identifying data leakage, spurious correlations, calibration issues, and subgroup failures before models affect business decisions.

I build production-ready Python and SQL solutions using tools including Pandas, Scikit-learn, XGBoost, BigQuery, Django, and Git. I have experience automating ELT workflows, maintaining data integrity, and troubleshooting distributed data issues.

I communicate complex model behavior, uncertainty, limitations, and risk factors clearly to technical and non-technical stakeholders. My work combines statistical discipline with practical decisioning needs in fraud, e-commerce risk, and analytics contexts.

I use generative AI tools such as ChatGPT and Claude to accelerate code generation, debugging, testing, documentation, and review while retaining independent judgment and rigorous final code review.

I am based in Lagos, Nigeria, available for remote UK engagements, and open to contract or employer-of-record opportunities without sponsorship requirements.