Data Scientist having 4 years of experience synthesising business requirements, precise problem definition, data architecture creation, modelling, visualization, process automation and analytical insight generation, Linear regression, Logistic regression, PCA, Backpropagation, Autoencoders, Generative adversarial network, Reinforcement learning, Dropout regularization, K-means, KNN, SVM, Gaussian mixture model, EKF, UKF, Particle filter, SLAM, Stereo matching, Point cloud, Structure from motion, Path planning, Object detection, Classification, Localization, Segmentation, YOLO, OPENCV * Natural Language Processing (NLP) * Time series analysis, prediction -- medical signals, stock/currency markets. Hands-on expertise with a range of deep learning tools: * Speech, Audio analysis * CHAT BOTS Proficient in building/training cutting-edge, novel neural architectures across various verticals. Familiar with latest research involving DNN, CNN, RNN / LSTM, seq2seq,GAN, attention models. Natural Language Processing with Transformers: Hugging Face Transformers RoBERTa, XLNet, BERT, GPT-2, Transformer-XL, BERT with TensorRT, Custom models Biomedical NLP: Question-Answering: Embeddings: Cloud services: Google Cloud, AWS,IBM Cloud, Digital Ocean, Heroku, Paper space and others