* Owned the Business Intelligence arm responsible for design, development, maintenance of scalable solutions for ongoing metrics and reporting needs.* Developed 5 automated dashboards for AR Plan of Record aimed to track a 2 year timeline with critical milestones, design risks and developments across the new AR launches for the Executive leadership and 25 teams across the globe.* Improved team’s accountability to 100% into workflow milestones and eliminated cross-functional off sync by developing an automated tool to ensure on-time launch of the AR Fulfillment Center.* Built an automated dashboard that forecasts demand signal for AR products across the Fulfillment and Transportation businesses by working backwards with customers and partners across 8 teams.* Automated and scaled the monthly HyperCube gross cube gain report by developing custom SQL queries around real time AR floor design data.* Owned the management and revision of 150+ Bill of Materials for AR fulfillment centers equating to billions of dollars in capital to serve as an integration point between upstream design requirements and downstream Supply Chain.

* Reframed sales strategy by leading collaborative sessions with stakeholders to collect, identify and optimize operational requirements for the LPG (Liquefied Petroleum Gas) distributorship. * Improved overall clientele by 47%, sales by 83% and cut down operational costs by 15% by using the new business model.* Classified target audience by designing market surveys and presented reports on Tableau.* Gathered functional specification requirements from customers by using surveys and interacted with operations and business development teams to develop new logistics system to meet supply-demand forecast.* Comprehended, documented, and presented necessary information from data for financial KPIs, ad-hoc, reporting/dashboards needs to increase gross revenue by 20% in an agile environment.* Interviewed stakeholders from pricing and product team to prioritize work of multiple projects and launched A/B test to make independent, educated and calculated changes to the firm in a low-risk manner.

* Collaborated on a live industrial project “Sentimental Analysis of Twitter Data” by using Naïve-Bayes approach and a Hadoop cluster for distributed processing.* Performed sentimental analysis of big data by splitting the data into various modules and used Hadoop for mapping it onto different machines.* Gathered necessary real-time data from the streaming API’s provided by Twitter for developmental purposes.