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Ghassen Dhieb

@ghassendhieb

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I build health economic models and apply statistical analytics to support healthcare decisions.

Tunisia

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What I'm looking for

I'm looking to apply quantitative methods to complex, real-world problems while learning from experienced professionals and continuously developing new skills.

At Clever Access, I develop and validate health economic models that evaluate healthcare interventions and support reimbursement and market access decisions.

I perform survival analyses and long-term outcome extrapolation in R, using parametric and spline-based statistical models. I also design Excel decision models and run deterministic and probabilistic sensitivity analyses.

Previously, at Lloyd Assurances, I developed and benchmarked actuarial pricing models for auto insurance claims using GLMs, Random Forest, XGBoost, and LocalGLMnet.

I've also built a spaCy and Flask resume-parsing solution and researched image compression with wavelets, autoencoders, and PCA. I enjoy taking on complex real-world problems, learning from experienced professionals, and developing new quantitative skills.

Experience

Work history, roles, and key accomplishments

Current

HEOR Analyst

Current

Clever Access

Nov 2025 - Present (10 months)

Develop and validate health economic models to evaluate the clinical and economic value of healthcare interventions. Perform survival analyses and long-term outcome extrapolation in R, and design Excel-based decision models with sensitivity analyses.

R Excel Survival Analysis Health Economic Modeling Sensitivity Analysis

Data Science Intern

Lloyd Assurances

Feb 2025 - Jun 2025 (4 months)

Developed and benchmarked actuarial pricing models for claim frequency and severity using GLMs, Random Forest, XGBoost, and LocalGLMnet to improve premium estimation and risk assessment.

GLM Random Forest XGBoost LocalGLMnet Actuarial Pricing R

Research Assistant

Laboratory of Analysis and Control of PDEs

Jul 2024 - Sep 2024 (2 months)

Compared wavelet-based and machine learning approaches for image compression, evaluating reconstruction quality using PSNR, SSIM, and compression ratio.

Wavelets Autoencoder PCA Image Compression PSNR SSIM

Data Science Intern

Karriery Startup

Jul 2023 - Sep 2023 (2 months)

Developed an automated resume parsing solution by training a custom spaCy NLP pipeline and deploying it as a Flask API for real-time entity extraction.

SpaCy NLP Flask Python API Development