I am working as a Decision Scientist in Mu Sigma Inc. helping Fortune 500 Companies achieve better decision making. A highly motivated professional with more than 4 years of corporate experience in decision sciences and data analytics, having worked in the Customer Analytics and Campaign measurement domains involving thought leadership, project management, visualization, and heavy automation, as a result, helping enterprises systematize better data-driven decisions. As part of my current role, I am managing and leading a team of 8 members to meet deadlines and client expectations on account that generate ~$1.16M in revenue. My ability to work in an ambiguous environment and create structure and define processes has helped to deliver results in chaotic environments. In past assignments, I have worked as a Data analyst to provide actionable insights to stakeholders, for a US home improvement retail giant through Adhocs and Tableau dashboards and applied machine learning techniques to work on multiple business problems such as customer propensity score estimation, customer segmentation,upsell and cross-sell marketing and sentiment analysis, and am well-versed in SQL, R, and Python. Earlier, I had held various positions in IT services organization, Infosys in area of application services, and product development. Apart from work, I am an avid reader of fiction books and play Volley Ball.