A data scientist with an insatiable intellectual curiosity, and the ability to mine hidden gems located within large sets of structured, semi-structured and unstructured data. Able to leverage a heavy dose of mathematics and applied statistics with visualization and a healthy sense of exploration. Core Competencies Strategic Thinking: Able to influence the strategic direction of the company by identifying opportunities in large, rich data sets and creating and implementing data driven strategies that fuel growth including revenue and profits. Modeling: Design and implement statistical / predictive models and cutting edge algorithms utilizing diverse sources of data to predict demand, risk and price elasticity. Experience in sourcing data from different databases. Analytics: Utilize analytical applications like R to identify trends and relationships between different pieces of data, draw appropriate conclusions and translate analytical findings into risk management and marketing strategies that drive value. Visualization: Develop dashboards and advanced visualization graphs using the data before and after analysis to help users access and analyze data resulting in higher revenues and margins and a better customer experience. Skills and Tools • Exploratory and Confirmatory data analysis • Descriptive an Predictive data analysis • Machine learning algorithms • Sentiment Analysis • Natural Language Processing • MS-Excel, R, Revolution R Python • Pentaho, D3, Google Charts • Hadoop, Hive, Mongo DB with R
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