Kader Bouregag
Data Scientist
Old Toronto, Ontario, Canada
Summary
👤
Senior🎓
Top SchoolKader Bouregag is a data scientist with nine years of experience specializing in medical informatics and real-world data at Roche/Genentech, focused on applying ML and LLMs to clinical text and time-series problems. He blends hands-on clinical data engineering (FHIR, OMOP, HL7v2) and terminology expertise (SNOMED, ICD, UMLS) with knowledge-graph integration to unlock siloed healthcare data. Kader has driven OMOP mapping and adverse event detection projects in academic and industry settings, demonstrating an ability to move models from research to regulated environments. A Fulbright and Chevening alum, he pairs dual master’s degrees in Data Science and Health Informatics with practical ETL and production ML experience. Notably, he leverages transformers and generative AI for medical content processing while maintaining strong foundations in standards and interoperability.
9 years of coding experience
2 years of employment as a software developer
Master's degree Health Informatics, Master's degree Health Informatics at Georgetown UniversityBSc - Eng Information Systems and Technologies, BSc - Eng Information Systems and Technologies at Ecole nationale Superieure d'Informatique (ESI)Master's degree Data Science, Master's degree Data Science at University of Surrey
French, English, Arabic
Github Skills (22)
prediction8
statistics7
forecast6
forecasting6
regression-models6
python6
econometrics6
hypothesis-testing5
arima5
forecasting-models5
data-science4
statistical-models4
data-analysis4
generalized-linear-models3
statsmodels3
Programming languages (3)
Github contributions (5)
k4der2rg/iSim
Nov 2017 - Feb 2018
Contributions:11 commits, 4 pushes in 2 months
k4der2rg/NewYork-Taxi-demand-prediction-with-SARIMAX
Aug 2020 - Sep 2021
Contributions:3 commits, 2 pushes, 1 branch in 1 year
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