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I am Machine Learning Scientist with over 8+ years Research & Development domain. I have hands-on experience of Python programming and strong Knowledge of Machine Learning Frameworks such as:-TensorFlow, Scikit-Learn, Torch/PyTorch, Keras, Theano, Pandas, Numpy, Matplotlib, MLlib (Spark), Caffe, MXNet, Chainer, APIs (including AWS, Google Colab & Docker) also MATLAB, Shell-Script.  Implemented different Machine Learning  Algorithms such as:- Supervised Learning, Unsupervised Learning, Long Short-Term Memory, Recurrent Neural Network, Convolutional Neural Network, Generative Adversarial Network   Currently, working as a Data Scientist in Natural Language Processing at The University of Southern Denmark, Odense, Denmark       The aim of this data scientist research involves the collection of Tender based database and proposes a new method of automatized text generation and subsequent classification of the European Union Tender Electronic Daily, text documents into predefined technological categories of the dataset. I have implemented a neural machine learning model based on LSTM and RNN nodes for text generation and SVM for subsequent code classification.    In my academic qualifications, I have completed PhD in Machine Learning & Speech processing Domain, MPhil in Machine Learning and MSc in Machine Learning from Dr.B.A Marathwada University, Aurangabad, Maharashtra, India. The work was proposed to build assertive devices for the Marathi based speech synthesis.   
 I specialize in Sentence Segmentation, Word Segmentation, Text Normalization, Part-of-Speech tagging, Pronunciation, Prosody Prediction and Waveform generation. 
 I have a strong interest in Machine Learning and Deep Learning, which I frequently apply to a range of Natural Language Processing, Text-to-Speech & Automatic Speech Recognition, Problem`s and Experience in building Natural Language Processing,  Text-to-Speech & Automatic Speech Recognition various languages (Government of India, sponsored projects) 
 I am confident that I will be able to contribute successfully to your ongoing projects while at the same time developing the technical skill set and knowledge so that I can succeed in my future independent work endeavours.  
 I thank you for your consideration of my application, and please contact me if I can provide any further information. I appreciate being considered for this position, and I look forward to hearing from you. You can find my publication and research work overhear link below 
 Website: www.sangramsing.com Linkedin: https://www.linkedin.com/in/drsangramsingkayte Github:-  https://github.com/Sangramsingkayte Medium:- https://medium.com/@sangramsing ResearchGet:- https://www.researchgate.net/profile/Sangramsing_Kayte5 Google Scholar :- ©

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