Raja Rajeswari Chandni P

Mentored and guided 5+ student teams through end-to-end data analysis projects for national hackathons, encompassing data cleaning, exploratory analysis, and predictive model development in Python.

Designed and delivered a comprehensive curriculum on data analytics and soft computing, integrating real-world datasets and project-based learning to enhance student skill acquisition and practical application.

Pioneered applied research utilizing Machine Learning and Deep Learning for medical image processing, leading to 2 publications in prestigious Scopus-indexed journals (Bentham Science, Springer).

Engineered robust features from raw image data and meticulously optimized model hyperparameters, significantly improving diagnostic prediction accuracy in medical imaging applications.

Cultivated critical thinking and problem-solving skills among students by creating an engaging learning environment that promoted open-mindedness, curiosity, and intellectual exploration.