Faiz Rasool

Faiz Rasool

Actuarial Science & Quantitative Risk Specialist | Data-Driven Strategist

Most recently: Operations and Finance Intern, Salaam Takaful Pakistan LtdExperience: 5 years

Hire me

Quantitative risk specialist with a Master's in Actuarial and Quantitative Risk Management from Ohio State. Expert in building predictive models—from COVID-19 simulations to sports optimization—with a proven ability to drive operational efficiency and lead large-scale community initiatives. Passionate about leveraging Python, R, and SQL to solve complex financial and social challenges.

Experience

Operations and Finance Intern

Salaam Takaful Pakistan LtdPakistanworkMay 2023 – Jul 2023

Summary

Collected and performed data cleanup and standardization from 11 leading insurance companies. Identified key trends and risk factors; conducted analysis on market trends, shortcomings, competitor strategies, and customer preferences. Analyzed market expansion, operational efficiency, and cost optimization strategies, contributing to a 5% market share growth in the next quarter.

What I did

  • Evaluated competitor financial health by tracking Net Claims, Gross Premiums, and Profit/Loss trends to inform market expansion strategies.

Results

  • Conducted deep-dive financial analysis of 11 major insurance competitors, including Adam Jee, evaluating key performance indicators such as Claims-Premium ratios, Liabilities-Equity ratios, and Return on Total Assets (ROTA).
  • Identified specific performance gaps in competitor portfolios, such as declining Return on Total Assets and rising claim ratios, to inform strategic positioning.
  • Contributed to a 5% market share growth by identifying under-served segments through comparative analysis of gross premiums and shareholder equity across the industry.
Data CleanupMarket Analysis

Research Assistant

The Ohio State UniversityUSAworkMay 2022 – Aug 2022

Summary

Examined a research paper to develop a Python-based simulation model of the spread of COVID-19 using real-world classroom data; estimated parameters to optimize predictive models. Developed an RShiny application to view the simulation in real time based on any parameters.

What I did

  • Developed a Python-based epidemic simulation model using final size distribution algorithms to forecast disease spread.
  • Built an interactive RShiny application to visualize simulation results and allow for dynamic parameter adjustment.
  • Collected and normalized COVID-19 data from Ohio schools (enrollment, vaccine rates, student-teacher ratios) to a standard population of 100.
  • Applied Approximate Bayesian Computation (ABC) and Chi-square distance metrics to estimate infection parameters from real-world data.

Results

  • Successfully estimated key epidemiological parameters for Ohio schools, identifying an average recovery period of 8.11 days and a transmission rate (R0) of 0.72.
  • Achieved a best-fit model with a Chi-square distance of 0.158, validating the simulation's accuracy against empirical school infection data.
  • Determined that the combination of parameters resulted in predominantly small outbreaks, providing actionable insights for epidemic preparedness.
  • Identified a transmission rate of 0.72, indicating predominantly small outbreaks in the studied population.
PythonRRShinyApproximate Bayesian Computation (ABC)Statistical ModelingData NormalizationChi-square Analysis

Intern

IPO Pakistan and Bayer Crop SciencePakistanworkMay 2020 – Aug 2020
Assisted the regulatory department of Bayer Crop Science in applying import permits to a federal institution for 76 products. Converted 120 intellectual property files for digital accessibility; designed an improved system for future employees at IPO Pakistan, reducing conversion time by 20%.
Regulatory ComplianceDigital Accessibility

Skills

Technical

RR
Microsoft Excel
RStudio
PythonPython
Microsoft Office
LaTeX
SQLSQL
Stata

Areas of expertise

Financial Mathematics (FM)
Probability (P)

Languages

Hindi
Urdu
English
Punjabi
German
Arabic

Projects

Survival Analysis of HIV Clinical Trial Data (ACTG175)

Senior Mathematics Capstoneacademic
Kaplan-Meier estimation, log-rank testing, and Cox proportional hazards regression on 2,139 right-censored patient records.
R

Javelin Throw Distance Optimization

personal
Smoothed bootstrapping, Random Forest, and Generalized Extreme Value modeling to identify optimal joint angles and estimate maximum throw distance (MAE 0.379 m).
RSmoothed bootstrappingRandom ForestGeneralized Extreme Value modeling

Pakistan T20 World Cup Squad Optimization

personal
K-means clustering, Random Forest, GBM and Monte Carlo simulation to select a 15-player squad and project tournament outcomes.
RK-means clusteringRandom ForestGBMMonte Carlo simulation

Education

Master of Actuarial and Quantitative Risk Management

The Ohio State UniversityActuarial and Quantitative Risk ManagementGPA 3.91Aug 2024 – May 2026

BA in Mathematics

Kenyon CollegeMathematicsGPA 3.42Aug 2020 – May 2024

Thesis. Survival Analysis of HIV Clinical Trial Data (ACTG175)

Coursework

Religious Studies (Minor)

Societies & activities

Junior Class PresidentSouth Asian Society PresidentMember of Alpha Delta Phi

Recognition

Awards

Dean's List Awards

Kenyon College

Certifications

SOA Exam: Financial Mathematics (FM)

Society of Actuaries

SOA Exam: Probability (P)

Society of Actuaries

Governance & advisory

President

South Asian Societyother

Junior Class President

Kenyon Collegeother
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Faiz's twin is AI, it can make mistakes.

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