Medical Imaging Analyst | AI in Radiology | DICOM Specialist
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Motivated and academically accomplished postgraduate in Medical Imaging Technology with strong clinical exposure, research experience, and expertise in radiological sciences. Experienced in working with medical imaging datasets including X-ray, CT, and MRI for AI-driven healthcare applications.
Skilled in medical data curation, annotation, imaging analysis, and SPSS-based research analytics, with a solid understanding of DICOM standards, PACS workflows, radiation safety, and clinical imaging protocols.
I have hands-on experience collaborating with AI engineers, clinicians, and healthcare researchers to develop high-quality imaging datasets for machine learning models in radiology.
Passionate about leveraging medical imaging, data science, and artificial intelligence to advance diagnostic accuracy, improve healthcare workflows, and support innovation in medical technology.
📍 Jun 2025 – Present
Completed a 6-month internship in medical imaging AI workflows and continued working with the organization.
Worked with medical imaging datasets (X-ray, CT, MRI) for AI-based healthcare applications.
Performed medical data curation, cleaning, labeling, and annotation following clinical standards.
Assisted in training and validation of AI/ML models using structured medical imaging datasets.
Ensured data quality, consistency, and clinical relevance during dataset preparation.
Collaborated with AI engineers, clinicians, and domain experts to translate clinical requirements into AI-ready datasets.
Followed data privacy, confidentiality, and ethical AI guidelines while handling medical data.
On-Job Training – Radiology Department
Symbiosis University Hospital and Research Centre
📍 Feb 2025 – Mar 2025
Completed clinical rotations in CR, DR, CT, MRI, Mammography, Ultrasound (USG), and DEXA.
Gained exposure to PACS workflows, DICOM standards, radiation safety protocols, QA/QC procedures, contrast administration, patient positioning, and patient care practices.
Diagnostic Imaging Intern – Radiology Department
Symbiosis University Hospital and Research Centre
📍 Aug 2024 – Oct 2024
Assisted in performing diagnostic imaging procedures including CT, MRI, and X-ray under expert supervision.
Ensured optimal imaging quality while adhering to radiation safety protocols.
Supported radiologists in image interpretation and preliminary reporting workflows.
Maintained accurate documentation and imaging workflow coordination.
M.Sc. in Paramedical Technology (Medical Imaging Technology)
Symbiosis Institute of Health Sciences, Symbiosis International University
📍 Aug 2023 – May 2025
B.Sc. in Medical Technology (Imaging Science)
Symbiosis Institute of Health Sciences, Symbiosis International University
📍 Aug 2020 – Jun 2023
