Understand customer business use cases and be able to translate them to analytical data applications and models with a vision on how to implement.
Apply quantitative, analytical, and creative skills to design, develop, and test projects.
Design, develop, and test applications for text processing, such as name or entity matching, text categorization/routing, named-entity extraction, sentiment analysis and Graph analysis.
Identify enhancements that can help to improve the productivity of the team and to improve the precision and recall scores for the categories
3+ Year Core skillsets include semantic technologies (RDF,OWL ), knowledge representation, natural language processing, Text Mining, search algorithm development and development in Java / J2EE / Scala.
2+ years experience with Big Data Store such as HBASE, MongoDB, SOLR.
Good understanding and implementation of graph analytics and graph algorithm.
Experience with Big Data execution using Hadoop / HortonWorks.
Experience with text mining using GATE, UIMA, Stanford NLP.
Good Knowledge of indices such Elastic Search will be plus.
Good Knowledge of real time data streaming and offline data Streaming.