Links to several short projects I’ve been working on. Topics and techniques include: machine learning algorithms (retail location prediction, churn analysis, analysis of clicks on digital ads and others), deep learning algorithms (image classifiers, LSTM, transfer learning), natural language processing applications (language models, sentiment analysis), time series analysis (vector error correction models in Finance), topic modeling, Bayesian structural Time Series, clustering algorithms, principal component analysis (PCA), computational physics (quantum mechanics of many particles) and others.

For more information about each project (description and code), hover the mouse over the pictures and click on them.