Electronics and Communication Engineering graduate with a minor in CS and ML, skilled in Python, data analysis, and ML model development. Built NLP projects including emotion classification using BERT, with hands-on expe…
Electronics and Communication Engineering graduate with a minor in CS and ML, skilled in Python, data analysis, and ML model development. Built NLP projects including emotion classification using BERT, with hands-on experience in data preprocessing and EDA. Eager to build intelligent, scalable solutions at the intersection of software and AI.
Developed a multi-modal cardiac arrhythmia detection system classifying 6 arrhythmia types using CNN-LSTM (ECG signals), Vision Transformer (ECG waveform images), and Random Forest (symptom data)Performed signal preprocessing including noise filtering, feature extraction, and data normalization across allthree modalitiesIntegrated all three models into a Flask web application for real-time multi-modal arrhythmia prediction
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