I developed a CatBoost classification model for the Thyroid Disorder Prediction System, engineering clinical features and deploying predictions through a web interface. The work was published as a research paper on early diagnosis of neonatal thyroid disorders.
For AI-GEN Sentinel, I built a hybrid machine-learning pipeline combining clinical parameters and image-derived data. I applied SMOTE, Stratified K-Fold cross-validation, and SHAP; a patent was published for AI-Enhanced Newborn Screening for Genetic Analysis.
As a Project Trainee at TVS Motor Company Pvt. Ltd., I analyzed warehouse-management data with Python to identify patterns behind stock-retrieval bottlenecks. My analysis supported process-improvement decisions that reduced retrieval time by 18%.
At TITAN Company Limited, I built a Gold Rate Calculator integrating a real-time API with backend database logic. At Edunet Foundation, I built a responsive Recipe Finder web application that integrated a third-party API.
