Data scientist with hands-on Experience in Machine Learning and Deep Learning. I have a master's degree in Computer Science with three years of research Experience. My experiences range from cutting edge research in machine learning algorithms including feature engineering, data cleaning, and visualization. Implementing different ML techniques like Naive Bayes Classier, KNN, SVM, Decision Tree, Random Forest, Logistic Regression, etc. Research experience with state of the art Deep Neural Network, Convolution Neural Network, and Recurrent Neural Network models. Working on different problems like Classification, Detection, and Segmentation for medial and Remote sensing imagery. Reinforcement learning models like Deep Q-Learning, Deep Deterministic Policy Gradient for open AI gym simulation. Languages $ Tools: Tensor-flow, Keras, Pytorch, Theano, Python & R. Scikit-Learn, Pandas, Numpy, Matplot, Seaborn, Jupiter Notebook, etc. Java, Microsoft Azure Web Deployment, h2o deep learning platform, Amazon Web Services for autoscaling