Chinmayi Amin

Analytical Data Scientist skilled in machine learning, Python, and data visualization. Applies data-driven insights to solve complex challenges and enhance business performance. Committed to continuous improvement and adept at leveraging innovative techniques for process optimization.

Internship at National Institute of Technology – Suratkal (2026-02 – 2026-05)

• Optimizing the Efficiency of Machine Learning Algorithms: Developed a diversity-constrained ensemble feature selection framework using IP-GRASP and machine learning classifiers for high-dimensional biomedical datasets. Implemented leak-proof cross-validation, Jaccard diversity constraints, and weighted ensemble learning to improve classification stability and accuracy on Psoriasis and Multiple Sclerosis gene expression datasets.
• Conducted literature reviews that informed and shaped ongoing research projects.
• Facilitated data collection and analysis processes, improving experimental research outcomes.
• Collaborated with team members to refine research design and methodology, enhancing project effectiveness.

B.E. in Artificial Intelligence and Data Science – SDM Institute of Technology, Ujire (2026-03)

PUC – Alva's PU College, Moodbidri (2022-04)

SSLC – New Little Flower School, Ron (2020-06)