Applied data scientist with 7+ years of experience in working with domain experts to provide machine learning solutions to a wide variety of applications. As part of my work, I design and deploy scalable end-to-end machine learning pipelines.Programming Languages, Libraries, and Tools: 8 years experience in Python (including Pandas, Matplotlib, Seaborn, scikit-learn, PyTorch, and Keras), R, SQL, MongoDB, Neo4j, Bash, Git, SVN, MATLAB. 1 year experience in HTML, CSS, and Javascript.Machine Learning and other Data Science Methods: Supervised learning (logistic regression, random forest, gradient boosting, SVMs), unsupervised learning (clustering, k-NN, anomaly detection, expectation maximization), deep learning (convolutional neural networks, LSTMs, convolutional autoencoders, Word2Vec, Doc2Vec), dimensionality reduction (SVD, NMF, PCA, tensor decomposition methods), ensemble methods, unstructured data analysis, time series analysis.