Experienced Software Engineer with a demonstrated history of working in information technology. Skilled in machine learning, neural networks - deep learning, recommendation systems, python/octave programming, optimization, data visualization, data analysis, testing I'm familiar with Supervised Learning, Unsupervised Learning, Neural Networks, Deep Learning, Linear Regression, Autoencoders, Logistic Regression, Support Vector Machines(SVM), Decision Trees, Naive Bayes, Random Forest, Gradient Boosting, K-Means Clustering, PCA, K-Nearest Neighbors (KNN) algorithms / approaches. My projects on image recognition have involved use of Convolutional Neural Network (ConvNet/CNN) I primarily work in Octave and Python and am adept at Scikit-learn, NumPy, Pandas. I have also used TensorFlow, Keras extensively. I believe that one of my strongest points is ability to balance long-term strategic development with timely delivery of tactical solutions I am pretty flexible with respect to working hours.