Actuarial Science · UiTM Shah Alam

Turning uncertainty into numbers people can plan with.

I'm Ammar Asyraf bin Aminurashid, a final-year Actuarial Science student at Universiti Teknologi MARA. I model insurance claims, reserves and risk in R, Python, Excel and VBA, and I'm looking for an internship in actuarial pricing, valuation, risk management or data analytics.

See my projects Get in touch

At a glance

Degree · Apr 2025 – present B.Sc. (Hons.) Actuarial Science, UiTM
Diploma · Oct 2022 – Feb 2025 Diploma in Actuarial Science, UiTM
Main tools R · Python · Excel/VBA · Power BI
Based in · Languages Shah Alam, Selangor · Malay, English, Mandarin

01 — About

A bit about me

I'm in the final year of the Bachelor of Science (Hons.) Actuarial Science programme at UiTM Shah Alam, after completing my Diploma in Actuarial Science there. My academic projects cover statistical modelling, insurance claims analysis and financial mathematics.

I like the point where a model meets a real decision. For my final year project, my team and I are building a Markov chain framework to show how autistic children in Malaysia move between learning stages and how long they take to reach mastery.

Outside class I've built a portfolio of actuarial models with AI-assisted workflows, earned certificates in data analysis, Excel and Power BI, and worked in a busy café where accuracy and speed mattered every shift.

02 — Projects

Selected work

Final year project · Sept 2026 – present

Academic progression of autistic children in Malaysia: a Markov transition matrix approach

Quantitative research with a four-member team. We reviewed 32 academic studies to find research gaps, and we're developing a framework that estimates learning-state transitions, forecasts progression and calculates expected time to mastery.

Markov chains Transition probability matrices R

Risk modelling · Jan 2026

Risk modelling of insurance claims

Modelled claim severity on more than 66,000 simulated transactions in R using maximum likelihood estimation and goodness-of-fit tests. Applied GEV and Generalized Pareto distributions to estimate the probability of claims above RM50,000.

R MLE Extreme value theory

Independent project · Nov 2026

AI-assisted actuarial modelling and risk analytics

Built and validated models for insurance pricing, claims reserving, bond valuation and financial risk, including GLMs and Chain Ladder, Bornhuetter–Ferguson and Mack reserving. Automated data cleaning, testing and reporting, and checked results against reference calculations.

Python GLM Reserving Claude Code

ASC454 · Actuarial Programming

Actuarial tools in Excel and VBA

Coursework building working spreadsheet tools, including a motor insurance pricing tool, a claims simulation, a retirement planning calculator and Solver-based cash-flow models, with custom VBA functions and UserForms.

Excel VBA Pricing

03 — Certifications

Certifications

Corporate Finance Institute (CFI) · Oct 2026

Power BI Fundamentals

Data preparation, Power Query, data modelling, DAX calculations and interactive dashboards in Microsoft Power BI.

View credential

Deloitte · Oct 2026

Conceptual Framework for Financial Reporting

IFRS e-learning on the principles behind preparing and presenting financial statements. Scored 100% on the assessment.

Google · Sept 2026

AI for Data Analysis

Using AI to set success metrics, write spreadsheet formulas, clean messy data and build clear visualizations.

View credential

Google · Sept 2026

Foundations: Data, Data, Everywhere

An introduction to data analytics: the data life cycle, analytical thinking and the everyday tools of a data analyst.

View credential

Microsoft · Sept 2026

Harnessing the Power of Data with Power BI

Connecting to data sources and turning them into reports and visuals with Microsoft Power BI.

View credential

Microsoft · Sept 2026

Preparing Data for Analysis with Microsoft Excel

Cleaning, formatting and organising data in Excel so it is ready for analysis.

View credential

04 — Experience

Work experience

Jan 2026 – present

Beverage Operations Specialist, Sip.Kul Café

  • Handle daily point-of-sale transactions, cash reconciliation and inventory tracking.
  • Streamlined the counter workflow to cut wait times at peak hours.
  • Keep to strict health, safety and brand quality standards in a high-volume shop.

05 — Skills

What I bring

Technical

  • Excel: advanced formulas and VBA
  • R and Python
  • Power BI and Power Query
  • SPSS, MATLAB, Google Colab, Claude Code

Actuarial

  • Financial and actuarial mathematics
  • Stochastic modelling
  • Financial risk management
  • Machine learning and actuarial programming

Working with people

  • Analytical thinking and problem-solving
  • Leadership and team collaboration
  • Report writing and clear communication
  • Malay (native), English (proficient), Mandarin (intermediate)

06 — Contact

Hiring an actuarial intern?

I'd be glad to talk. My CV has the full details.

ammarasyrafrashid@gmail.com linkedin.com/in/marsyraf +60 17-466 4175 Download CV (PDF)