Oyekemi Abioye

Oyekemi Abioye: Data Science | Data & AI Governance | Bridging Advanced Analytics with Responsible AI

I operationalize Responsible AI, translate regulatory requirements (e.g., GDPR) into MLOps automation, and lead the development of enterprise governance infrastructure.

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About Me: The Pivot to Trust & Control

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I am an impact-oriented professional with 7 years of deep experience building and deploying predictive models across Financial and Insurance Services. My transition into AI Governance was driven by a commitment to ensuring that innovation is always paired with scalability, security, and ethical control.

My strength lies in my dual capability: I don't just understand policy; I understand the coding, pipeline development, and MLOps principles needed to physically enforce governance rules. This allows me to effectively lead cross-functional efforts between legal, risk, and engineering teams to achieve audit readiness.

I believe proactive control, automated through smart platform design, is the only sustainable path for enterprise-wide GenAI adoption. My goal is to transform compliance from a reactive bottleneck into a strategic, automated advantage.

My Core Expertise

Governance & Policy Leadership

Active member of the **AI Governance Committee** and author of internal policies. Focus on regulatory frameworks (e.g., OSFI E-23 analysis) and formal risk triage processes for audit readiness.

MLOps Platform Controls

Technical expertise in implementing automated controls for model lifecycle management. Specialized in **Python, AzureML, Databricks, and CI/CD** to prevent drift and ensure continuous monitoring.

Generative AI & Risk Mitigation

Hands-on experience with **LLMs (Hugging Face Transformers)** and designing ethical guardrails, prompt governance, and deployment constraints for safe, compliant, and responsible GenAI rollout.

Qualifications & Certifications

Advanced Education

  • Master of Management Analytics (MMA)

    Smith School of Business, Queen’s University

  • Bachelor of Science, Mathematics & Statistics

    University of Lagos

Technical & Management Certifications

  • Professional Scrum Master (PSM 1)

    Scrum.org

  • Azure Certified Data Scientist

The Platform Toolkit: Automating Control

The technologies used to implement and automate policy in production.

MLOps Monitoring & Alerts

  • MLOps Strategy: Implemented continuous monitoring checks.
  • Risk Mitigation: Automated alerts for data and model drift.
  • Technology: Python, MLflow, AzureML, Databricks.

Secure Cloud Architecture Design

  • Design: Led infrastructure design for secure, scalable cloud operations.
  • Compliance: Ensured architecture met all data security and governance requirements.
  • Technology: Azure Cloud Platform, Azure Data Factory.

CI/CD and Audit Trails

  • Process: Utilized Azure DevOps and Git for version control and audit trails.
  • Assurance: Ensured every model change is traceable for internal audit purposes.
  • Certification: PSM 1 Certified.