Transforming Data into Better Decisions
I specialise in applying actuarial science, statistical modelling and business analytics to solve complex business problems and support evidence-based decision-making.
My expertise spans insurance pricing, claims reserving, predictive modelling, risk analytics and business intelligence. I enjoy transforming complex datasets into clear, actionable insights that help organisations improve performance, manage risk and make informed strategic decisions.
Alongside my analytical background, my experience as a mathematics educator has strengthened my ability to communicate technical concepts clearly to both technical and non-technical audiences.
I believe the best analytics does more than explain the past—it provides confidence for better decisions about the future.
- Insurance Pricing
- Claims Reserving
- Risk Analytics
- Predictive Modelling
- Business Intelligence
- KPI Reporting
- Dashboard Development
- Decision Support
- Statistical Modelling
- Data Cleaning
- Exploratory Data Analysis
- Data Visualisation
Programming
Python • SQL • R
Analytics & BI
Power BI • Excel
Development
Git • GitHub
The repositories below represent my current flagship analytics projects and reflect the Anthony Utulu Analytics Standard for professional documentation, business interpretation and technical implementation.
End-to-end insurance portfolio analytics using SQL Server and Power BI to evaluate profitability, claims performance, exposure and underwriting risk, and translate the findings into management decisions.
- 354K policy-year records analysed
- £105M premium and £74M incurred claims evaluated
- Loss Ratio, Claim Frequency and Claim Severity analysis
- Policy Type, Vehicle Age and Business Type segmentation
- SQL-based Data Quality, Cleaning and Analytics Views
- Interactive Power BI Management Dashboards
- Maintain / Monitor / Review management framework
- Executive Documentation
🔗 Repository
https://github.com/Utulu1/Insurance-Portfolio-Analytics
End-to-end actuarial pricing analytics using Poisson Generalized Linear Models to model motor insurance claim frequency and support evidence-based pricing decisions.
- Business-focused analytics workflow
- Real-world insurance dataset
- Exploratory Data Analysis
- Feature Engineering
- Poisson GLM
- Model Validation
- Business Insights
- Executive Documentation
🔗 Repository
https://github.com/Utulu1/Motor-Insurance-Pricing-Analytics
End-to-end actuarial reserving analysis using deterministic and stochastic reserving techniques to estimate outstanding claims liabilities and support reserving decisions.
- Chain Ladder
- Mack Chain Ladder
- Reserve Uncertainty
- Model Interpretation
- Business Reporting
- Executive Documentation
🔗 Repository
https://github.com/Utulu1/Actuarial-Claims-Reserving-Workflow
I am continuing to develop a portfolio of consulting-quality actuarial and business analytics case studies.
Future portfolio areas include:
- IFRS 17 Insurance Liability Modelling
- Life Insurance Pricing Analytics
- Predictive Claims Severity Modelling
- Capital & Risk Modelling
- Pension Valuation Analytics
- Executive Business Analytics Dashboards
Projects will be published once they satisfy the Anthony Utulu Analytics Standard for technical quality, business relevance and professional documentation.
To help organisations transform complex data into confident business decisions by combining actuarial thinking, analytics and clear communication.
https://www.linkedin.com/in/utulu-an
🌍 GitHub