GYALGEN LEPCHA

I built an end-to-end cardiovascular disease prediction pipeline at ICFAI University, using Python, Pandas, and Scikit-Learn to identify heart disease risks early.

I cleaned and normalized health datasets through missing-value imputation, outlier removal, and feature encoding. I benchmarked Random Forest, Decision Trees, SVM, and Logistic Regression models with a focus on maximizing recall and reducing critical false negatives.

During my Administrative & IT Trainee placement at ICFAI University, I managed and verified academic records for internal audits. I also worked with campus IT staff to resolve network, user-accessibility, and database-entry issues across departments.

I've strengthened my analytics practice through Deloitte and Tata Forage simulations, where I performed exploratory data analysis, created dashboard-based recommendations, and used generative AI workflows to summarize insights for executive presentations.