I'm an Electronics and Communication Engineering student with hands-on experience building and deploying real machine learning projects. I specialize in Python, data analysis, and ML model development — including a fraud detection system (Random Forest + SMOTE) and an ECG anomaly detector (XGBoost + PCA), both live and deployed. I also have a background in deep learning (built neural networks from scratch, trained models in TensorFlow/Keras) and IoT (built a live weather station combining hardware, software, and ML prediction). I'm reliable, detail-oriented, and communicate clearly... Read more