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Multi-Class-Radiological-Diagnosis-Using-Swin-Transformer
April 8, 2026 – Present
Deep learning project using Swin Transformer for chest X-ray classification (COVID, Normal, Pneumonia). Achieves ~93% accuracy with ROC, confusion matrix, and Grad-CAM visualizations. Demonstrates transformer-based medical image analysis with strong performance and interpretability.
View ProjectFinal_SIH_project
September 24, 2023 – September 26, 2023
Final_SIH_project — GitHub repository
View ProjectSkin_Disease_Hackathon
September 21, 2023 – September 22, 2023
Skin_Disease_Hackathon — GitHub repository
View ProjectE22CSEU1069_Lab_05
September 15, 2023 – September 15, 2023
E22CSEU1069_Lab_05 — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, focusing on deep learning and AI. This aligns with the technical aspects of a Data Scientist role. However, the lack of diverse project types (e.g., deployed applications, team projects with clear roles) and limited technology breadth beyond Python and Jupyter Notebook suggests a narrow exposure to different work environments or problem-solving approaches. The descriptions are brief, making it hard to gauge the depth of involvement or collaborative potential.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric or English test scores are available, and project descriptions do not provide insights into collaboration or communication.