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Utulu1/README.md

Anthony Utulu — Actuarial and Business Analytics Professional


Helping organisations transform complex data into confident business and risk decisions through actuarial science, analytics and business intelligence.

About Me

I am passionate about using analytics to solve real-world business problems.

My experience spans actuarial science, statistical analysis, business intelligence and data analytics, allowing me to bridge technical analysis with practical decision-making.

Alongside my analytical work, my teaching experience has strengthened my ability to communicate complex ideas clearly and effectively to both technical and non-technical audiences.

I believe the best analytics does more than describe the past—it helps organisations make better decisions for the future.


Areas of Expertise

Actuarial Analytics

  • Insurance Pricing
  • Claims Reserving
  • Mortality Analysis
  • Survival Analysis
  • Pension Valuation
  • Risk Modelling

Business Analytics

  • Business Intelligence
  • KPI Reporting
  • Dashboard Development
  • Decision Support
  • Predictive Analytics

Data Analytics

  • Statistical Modelling
  • Data Cleaning
  • Exploratory Data Analysis
  • Data Visualisation

Technical Skills

Python SQL Power BI R Git Excel


Professional Mission

To help organisations make confident, evidence-based decisions by combining actuarial thinking, business analytics and clear communication.

I believe that analytics should not simply explain what happened.

It should guide what happens next.


🚀 Featured Analytics Projects

Developed an end-to-end actuarial claims reserving solution using the Chain Ladder and Mack Chain Ladder methods in Python to estimate outstanding claims liabilities and support reserving decisions.


Built a motor insurance pricing model using Generalised Linear Models (Poisson and Gamma) with a frequency–severity framework to estimate pure premiums and analyse insurance risk.


Applied predictive modelling techniques to insurance datasets to identify risk patterns, improve forecasting accuracy and support data-driven decision-making.


Developed analytical models demonstrating key actuarial concepts supporting IFRS 17 reporting, financial measurement and insurance contract valuation.


Performed survival and mortality analysis using actuarial and statistical techniques to evaluate life expectancy, longevity trends and insurance risk.


💼 Business Intelligence Dashboard (Coming Soon)

Interactive Power BI dashboards designed to transform business data into executive insights through KPI reporting and data visualisation.


Current Focus

  • Building consulting-quality analytics projects
  • Developing actuarial analytics solutions
  • Creating executive Power BI dashboards
  • Expanding expertise in business analytics and decision intelligence

Connect With Me

📧 Email: [email protected]

💼 LinkedIn: https://www.linkedin.com/in/utulu-an

🌍 GitHub: https://github.com/Utulu1

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  1. Actuarial-Claims-Reserving-Workflow Actuarial-Claims-Reserving-Workflow Public

    end-to-end actuarial claims reserving workflow using the Chain Ladder and Mack Chain Ladder methods in Python.

    Jupyter Notebook 2

  2. Actuarial-Motor-Pricing Actuarial-Motor-Pricing Public

    Actuarial motor pricing analysis using the French MTPL dataset with Poisson GLM, Gamma GLM, frequency-severity modelling, and pure premium estimation.

    Jupyter Notebook 1

  3. Actuarial-IFRS17-Modelling Actuarial-IFRS17-Modelling Public

    Python implementation of a simplified IFRS 17 insurance liability measurement framework featuring PVFCF, Risk Adjustment, Contractual Service Margin (CSM), Liability for Remaining Coverage (LRC), C…

    Jupyter Notebook 1

  4. Actuarial-Insurance-Pricing-Analytics Actuarial-Insurance-Pricing-Analytics Public

    Insurance pricing analytics using Python, exploratory data analysis, risk segmentation and predictive actuarial modelling.

    Jupyter Notebook 1