Data Scientist

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.

Interested prospects, do reach out to me at 080-45179910 for a confidential conversation.