I'm a Masters Student in Natural Language Processing with extensive experience in Deep Learning, NLP, Speech Recognition and Text-to-Speech (TTS). I also have 4 years of full-time work experience as an ML Engineer. My current research work is on Adversarial training of End-to-End Speech Recognition. I am a problem solver and I believe in providing complete solutions. If you have a project in mind and you don't even know where to start, then you've come to the right person. I also have a vast knowledge of Statistical Learning like categorical data analysis, Bayesian statistics, decision trees, cluster analysis, and predictive modelling. I have also managed live production environments on AWS. ML frameworks: Tensorflow, PyTorch, Keras, Chainer, Theano, Apache Spark Python frameworks: numpy, pandas, scikit etc. Programming Languages: Python, SQL I'm flexible with my working hours and am happy to work closely with any existing freelancers you work with. You can expect prompt, polite and helpful communication from me.