At DTU's Lab on Wheels, I taught Python programming to school students as a paid USIP internship, helping make technical concepts accessible to young learners.
For my PredictiveAnalysis for Cardiac Diagnosis project, I compared four machine learning models on a 303-patient heart disease dataset. After exploratory analysis and preprocessing, my SVM model achieved the highest recall at 0.97.
I'm pursuing a BTech in Engineering Physics at Delhi Technological University, where my coursework includes programming fundamentals and computational methods. As a Quantum Computing Member at Semicon DTU, I applied mathematical foundations to mentor participants and evaluate solutions at the Semixthon hardware hackathon.
