Data Scientist – Pharmacovigilance
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Results-driven data scientist with a strong foundation in biomedical engineering, AI, and pharmacovigilance. Proven ability to develop and deploy machine learning models for medical imaging, automate data processes, and generate regulatory insights from structured and unstructured healthcare data. Skilled in SQL, Python, and statistical analysis, with experience presenting research at international medical conferences.
Eager to contribute data-driven innovations in the UAE's pharmaceutical and healthcare sectors.
Results-driven data scientist with a strong foundation in biomedical engineering, AI, and pharmacovigilance. Proven ability to develop and deploy machine learning models for medical imaging, automate data processes, and generate regulatory insights from structured and unstructured healthcare data. Skilled in SQL, Python, and statistical analysis, with experience presenting research at international medical conferences.
Eager to contribute data-driven innovations in the UAE's pharmaceutical and healthcare sectors.
MSc: Biomedical Engineering & AI
Developed advanced Convolutional Neural Network (CNN) architectures for medical image segmentation, achieving a 76% reduction in manual correction needs compared to state-of-the-art methods. Clinically deployed the developed AI model, translating research into real-world healthcare workflows. Leveraged a cloud-based high-performance computing (HPC) cluster, similar to AWS/Azure, to train, test, and optimize AI models on large-scale unstructured clinical data.
Demonstrated strong communication skills by presenting research at international conferences, including ASNC 2023 and CANM 2023.
