Rime Bousetta

@ Université Libre de Bruxelles

Brussels, Belgium

Data-driven biostatistician skilled in developing and implementing advanced predictive modeling solutions for clinical outcomes using AI tools. Expertise spans machine learning algorithms, including XGBoost, Random Forest, and LASSO, implemented efficiently using Python and R. Proven ability to translate complex epidemiological data into actionable insights and impactful visualisations for multidisciplinary teams.

Tech stack

Miscellaneous

Machine Learning

XAML

Back-end

Python

R / Matlab / SPSS

CMS

Liferay

ETL Datawarehouse

DataStage

Language

Native French

French

Native

English

Fluent

Dutch

Average

Work experience

Since 2022

01 June 2025 - 01 September 2025

Led inferential statistics courses, developing tailored teaching materials and exercises to enhance student understanding. Achieved a 100% pass rate for students retaking their master thesis submissions by delivering personalized guidance and feedback using R, Stata, and Jamovi.

01 January 2025 - 30 June 2025

Extracted, categorised and harmonised geriatric frailty indicators from more than 35 RCTs and cohort studies for meta analysis. Developed comprehensive visualisations using R and ggplot to communicate complex data insights effectively.

01 August 2022 - 01 April 2025

Monitored quality of rubber and palm oil files and coordinated claim reporting. Managed regulatory compliance documentation and led training on Occupational Health and Safety (OHS) procedures.

Education experience

Since 2020

Public Health (Biostatistics & Epidemiology) @ Université libre de Bruxelles

01 January 2023 - 30 June 2025

Graduated cum laude.

Pharmaceutical Sciences @ Université catholique de Louvain

01 January 2020 - 30 June 2023