Experience with NLP, Text processing, Information Retrieval, Topic categorization, Entity extraction and summarization.
Strong knowledge in inferential, Bayesian statistics and predictive or stochastic modelling.
Strong working experience of data mining techniques, including regression analysis, clustering, decision trees, neural networks, SVM (support vector machines) and familiarity with recommendation systems such as collaborative filtering, k-nearest neighbors, association rules, market basket analysis, SVD (singular value decomposition), matrix factorization methods
B.Tech / M.Tech / MS / M.Sc. / Phd degree in Machine Learning, Data mining, Statistics, maths, Econometrics, Operation research, Engineering or other quantitative discipline