Being enthusiastic to explore more and more each moment of time about Data Science and Artificial Intelligence, I have been working extensively on Machine Learning, Statistical Analysis, Deep Learning, Natural Language Processing (NLP), Deep Natural Language Processing while working through large amount of text data from multiple sources including Cornell Movie Dialogue Corpus, Stories data and so many others including the Data-sets available online and also from the organization where I have been working on since several years. While working with LSTM Recurrent Neural Network, I have learnt that there are multiple dimension of predictive analytics, not only while using strong machine learning techniques such as Bagging techniques, RandomForest, Gradient Boosting, XG Boost or unsupervised Machine Learning Techniques including PCA or K-Means Clustering but also those responsibility can be handled by Neural Networks such as LSTM, GRU using amazing activation functions such ReLU, Softmax, Sigmoid while extensively utilizing Regularization techniques to optimize the performance of the model. While working with chatBot Building, creating Sentiment Analysis model, Customer Segmentation, Recommender System and so on I have utilized my skills, expertise and knowledge which I have gained since several years. Working on deep learning has been one of my passion and I am pursuing those passion since couple years and experimenting new scope to utilize multiple computer vision models for the betterment of humanity on earth. Being a Data Scientist, I love to keep exploring all possible opportunities for emerging Data Scientists in the future. ©