Machine Learning Intern
Current- Delivered 30+ deep learning models (CNN, DNN, DS-CNN, LSTM) for sound classification using TensorFlow and TF Lite, increasing model accuracy from 49% to 93%- Automated data preprocessing and training pipelines using Python, Pandas, NumPy, and Seaborn for ML cycle automation and coherence- Designed and implemented automated testing software, reducing.