
Sujal Gupta
@sujalgupta3
Medical researcher at GIDEON Informatics who validated biomedical evidence and built a leakage-aware diabetic retinopathy classification pipeline.
What I'm looking for
At GIDEON Informatics, I synthesised biomedical and epidemiological literature into structured evidence for a healthcare knowledge system, assessing source quality and resolving scientific discrepancies. I also validated database entries and applied research-backed corrections to improve data integrity.
At NITI Aayog, I analysed medical-device trade data and mapped component-level value chains across imaging and advanced diagnostics. I combined trade data, regulatory benchmarking, and capability-gap analysis to develop policy recommendations on upstream manufacturing and import dependence.
For my diabetic retinopathy classification project, I built a five-class pipeline using ResNet50 and DenseNet121 feature extraction, feature fusion, and a LightGBM meta-learner. A SHA-256 integrity audit found cross-split duplicates and label conflicts, informing leakage-aware splitting and evaluation.
My research has also included analysing Ayushman Bharat Digital Mission datasets, comparing food-colourant regulations across jurisdictions, and contributing groundwater data analysis. I’m seeking to apply these analytical research skills to clinical research data analysis, operational analytics, and evidence-based decision-making.
Experience
Work history, roles, and key accomplishments
Medical Researcher
GIDEON Informatics
Jun 2026 - Oct 2026 (4 months)
Synthesised biomedical and epidemiological literature into structured, validated evidence for a global healthcare knowledge system. Validated and refined database entries by critically evaluating clinical accuracy and applying research-backed corrections.
Research Intern, Science & Technology Division
NITI Aayog, Government of India
Jan 2026 - Feb 2026 (1 month)
Analysed medical-device trade datasets and mapped component-level value chains across imaging and advanced diagnostics. Integrated trade data, regulatory benchmarking, and capability-gap analysis to develop evidence-based policy recommendations.
Research Contributor
Central Ground Water Board
Jul 2025 - Oct 2025 (3 months)
Analysed and visualised drilling datasets for two research studies on groundwater and rig rehabilitation. Contributed to technical report editing.
Science & Standards Intern
Food Safety and Standards Authority of India (FSSAI)
Jul 2025 - Sep 2025 (2 months)
Compared 32 food colourants across six international regulatory frameworks, mapping approved uses by food category and identifying cross-jurisdiction regulatory gaps. Built a structured, colour-coded analytical dataset and presented findings to support regulatory alignment.
Digital Health Intern
International Institute of Health Management Research (IIHMR
Jun 2025 - Aug 2025 (2 months)
Analysed Ayushman Bharat Digital Mission datasets including health facility registries, professional records, and microsite adoption metrics. Identified adoption patterns and regional disparities, delivering data-driven insights for policy planning.
Medical Imaging AI Trainee
Hansraj College, University of Delhi
Jun 2025 - Aug 2025 (2 months)
Developed an award-winning diabetic retinopathy grading model, reporting weighted F1 of 0.940 on APTOS 2019 in a preliminary evaluation.
Biotech Research Trainee
Deen Dayal Upadhyaya College, University of Delhi
Jun 2024 - Jul 2024 (1 month)
Performed DNA extraction, PCR amplification, gel electrophoresis, cloning, and recombinant colony screening. Documented experimental observations and validated constructs.
Education
Degrees, certifications, and relevant coursework
Deshbandhu College, University of Delhi
Bachelor of Science, Life Sciences
2023 - 2026
Grade: 8.394/10
Activities and societies: Editor-in-Chief, Synergia Life Sciences Society; Public Relations Associate, E-Cell; Content Strategist and Science Communicator.
Pursuing a B.Sc. in Life Sciences with a CGPA of 8.394/10, including coursework in Python programming, data analysis, genetics, and biochemistry.
Hansraj College, University of Delhi
Trainee, Medical Imaging AI
2025 - 2025
Completed a Medical Imaging AI training program, developing an award-winning diabetic retinopathy grading model.
Deen Dayal Upadhyaya College, University of Delhi
Trainee, Biotechnology
2024 - 2024
Completed a Biotech Research training program, performing DNA extraction, PCR amplification, gel electrophoresis, and cloning.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
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