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Academic researcher and ad-tech startup data scientist. My interests include machine learning algorithms: state-of-the art, multi-classifier, clustering to aid classification; feature selection, extraction, transformation; subspace clustering, spectral clustering; hierarchical classification; trunsductive learning, probabilistic graphical models, Markov Chain Monte Carlo; graph mining; distance functions. On the engineering side - Map/Reduce, Hadoop, Spark, Storm, extensions of Weka like MOA; R-based and Python-based frameworks; NLP. Exploring new things, currently - ontologies.

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