Sumanta is a Data Scientist, currently working on solving various complicated use cases for industry 4.0 to help industries reduce downtimes and achieve process efficiency by leveraging the power of cutting-edge solutions. skills - Probability, Statistics, Machine Learning, Deep Learning, Python, SQL, Excel Frameworks - pandas, NumPy, sklearn, Keras, TensorFlow DL network architectures - AutoEncoder, LSTM-AutoEncoder, CNNs, RNNs/LSTMs/Bi-Directional LSTM, transformers/NLP, and more. Anomaly Detection - Spectral Decomposition, KDE (Kernel Density Estimation), one-class- replicator neural network (AutoEncoder, LSTM-AutoEncoder), one-class-SVM, LOF, Isolation Forest, Nearest Neighbour, one-class Fisher Discriminants, various semi-supervised methods (cluster scoring method). NLP- text classification, topic modeling, sentiment analysis, named entity recognition, parts-of-speech tagging, relationship extraction, stemming, lemmatization, TF-IDF, word2vec, LSTM, Bi-Directional LSTM. Computer Vision : Image Classification /Object Detection / Transfer Learning Deployment- He has extensive experience in deploying different kinds of models in the production environment. (Redis, Docker, Kafka, opentstb, linux)