About Me
I am a seasoned Credit Risk Analyst, Data Scientist, and Quantitative Researcher with over 15 years of professional experience in the financial services and consulting sectors. My career has spanned roles in credit risk modeling, quantitative research, data science, and database management, where I have consistently delivered practical solutions to complex business problems.

With over 5 years of direct expertise in credit risk model development, execution, and monitoring, I specialize in IFRS 9 and Basel 3.1 compliant Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) models. My work combines strong statistical and programming expertise with regulatory compliance, business insight, and a passion for teaching.

Technical Expertise

Programming: SAS, SQL, R, Python, PL/SQL

Cloud & Databases: Snowflake, Oracle, Teradata, Microsoft SQL Server, AWS, Azure, GCP

Visualization: Power BI, Tableau, QlikView

Risk Analytics: IFRS 9, Basel 3.1 IRB Models, Regulatory Reporting

Industry Experience
I have held specialist and leadership positions at Close Brothers (UK), Absa Group (Barclays Africa), MTN Group, and Catholic Relief Services/UNICEF Consulting, where I successfully led teams, automated credit risk model execution, migrated data to cloud platforms, and designed interactive dashboards that transformed decision-making processes.

Teaching Philosophy
My approach is simple: make complex concepts clear, practical, and actionable. I break down advanced topics in credit risk, data science, and programming into digestible lessons with hands-on demonstrations so learners can immediately apply them in their roles.

Why Learn With Me?

Proven industry experience in credit risk and data science

Real-world projects in IFRS 9 and Basel-aligned model development

Hands-on coding demonstrations in SAS, Python, and R

Practical insights drawn from 15+ years of professional practice

Passion for empowering professionals to succeed in data-driven roles

Join me in my Udemy courses and gain not just technical skills, but also the business acumen and regulatory understanding to stand out in the competitive fields of credit risk and data science.