About
Data Analyst and Research Associate with strong experience in Python, SQL, and data visualization tools. Currently, working on deep learning applications and interpolation techniques for computer vision and scientific computing at SRM Institute of Science and Technology. Skilled in exploratory data analysis, machine learning, and deep learning models, including CNN architectures. Passionate about applying analytical and AI techniques to extract insights, optimize workflows, and support data-driven decision making.
Skills & Expertise (17)
Work Experience
Project Associate - I
SRM Institute of Science and Technology
Jan 2025 - Present
Conduct research on high-order polynomial approximations and data-bounded interpolation techniques to improve numerical stability and computational efficiency in scientific computing applications. Develop deep learning models using PyTorch and pretrained CNN architectures (VGG16, ResNet) for image classification across scientific and medical imaging datasets. Perform large-scale data preprocessing, feature extraction, and statistical analysis to validate computational models and support data-driven conclusions. Evaluate and compare interpolation methods that include bilinear, bicubic, and custom interpolation techniques using performance metrics such as PSNR, SSIM, and classification accuracy. Contribute to research on artificial neural networks for simulating electroosmosis-driven physiological flow in asymmetric peristaltic microchannels with surface roughness. Assist in research documentation, experimental design, and preparation of technical reports and research publications.
Education
Bachelor of Science (B.Sc.) - Walchand College of Arts and Science
2016 - 2019 · Afghanistan
Master of Science (M.Sc.) in Mathematics - D.B.F. Dayanand College of Arts & Science
- 2022 · Afghanistan
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Skills (17)
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