Data Science with 1+ years in Health Data Science & Image Analytics
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Scientist with an MSc in Health Data Science and a background in Radiology and Imaging Technology. Skilled in Python, SQL, Machine Learning, Image analysis and healthcare data analytics. Passionate about building AI-driven solutions and transforming healthcare data into actionable insights.
SRM Institute of Science and Technology
M.Sc. · Health Data Science
August 1, 2024 – June 1, 2026
Karpaga Vinayaga Institute of Medical Sciences
B.Sc. · Radiology & Imaging Technology
October 1, 2019 – February 1, 2024
Deep Learning Intern, krtrimaIQ Cognitive Solutions
Deep Learning Intern
March 1, 2026 – May 1, 2026
Bengaluru, Karnataka, India
Madras Diabetes Research Foundation
Data Science Intern
October 1, 2024 – November 1, 2025
Chennai, Tamil Nadu, India
Substance Abuse Pattern: A Comparative Analysis of NFHS-4 and NFHS-5 Across India
June 1, 2026 – Present
• Analysed NFHS-4 and NFHS-5 datasets using Association Rule Learning (Apriori) to identify regional substance abuse patterns across India. • Applied lift-based evaluation and Sankey visualisations to uncover and interpret emerging associations in NFHS-5.
Automated Detection of Pneumonia and Its Subtypes from Chest X-rays Using Transfer Learning
June 1, 2026 – Present
• Developed transfer learning models using DenseNet121 and MobileNetV2 for pediatric chest X-ray classification and pneumonia subtype detection. • Performed image preprocessing, data augmentation, and deep learning model development using TensorFlow and Keras to improve model generalisation.
Fundamentals of Deep Learning
NVIDIA
June 1, 2026 – Present
Professional Data Science Course
IBM
June 1, 2026 – Present
Data Science Fundamentals with SQL and Python
IBM
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects and internships are heavily focused on healthcare data science and medical imaging, indicating a strong passion and alignment with roles in health tech or research-oriented data science. The diversity of projects (substance abuse patterns, pneumonia detection) shows a breadth of application within the health domain. The candidate's background suggests a strong interest in leveraging AI for social impact, which could be a good cultural fit for mission-driven organizations.
Soft Skills & Operational Fit
The candidate's project descriptions and experience highlight an ability to work with complex datasets and apply advanced analytical techniques. The focus on healthcare data suggests a detail-oriented approach and an understanding of domain-specific challenges. However, without direct interview data, it's difficult to assess communication, teamwork, or problem-solving under pressure.