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Data Science with 1+ years in Health Data Science & Image Analytics
AI is analyzing your overall score…
Identifying your key strengths…
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.
Professional Data Science Course
IBM
June 1, 2026 – Present
Data Science Fundamentals with SQL and Python
IBM
June 1, 2026 – Present
Fundamentals of Deep Learning
NVIDIA
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.