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Papli Banerjee

Director, Business Analytics at Amplify Analytix

Papli Banerjee is an experienced professional in the fields of business analytics and data science, currently serving as the Director of Business Analytics at Amplify Analytix since April 2023. Previously, Papli held various roles at Dell Technologies from April 2018 to April 2023, including Data Quality Senior Manager and Business Analytics Consultant, where responsibilities included leading teams to deliver actionable business insights and developing audience strategies for NPS surveys. With a foundation in data science, Papli also served as a Senior Advisor overseeing predictive model development and sentiment analysis. Prior experience includes managing analytics projects at Cognizant and a long tenure at Dell, where Papli worked on global demand reporting and marketing effectiveness. Educational qualifications include an Executive MBA from SVKM's Narsee Monjee Institute of Management Studies and a Bachelor of Technology in Electrical and Electronics Engineering from Berhampur University.

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Amplify Analytix

Data science company delivering meaningful actionable insights to clients and helping them evolve into data-driven organizations. Our Agile Data Science methodology helps us deliver tailored solutions, based entirely on the client’s business challenge and existing systems. We focus on sales and marketing analytics for both B2B and B2C sectors, with our experience ranging from manufacturing, packaging, and mining, to retail, pharma, and utilities. Because of our agile approach and tailored execution, our industry expertise also comes from ongoing communication with the client. Our international team uses their experience in mathematical and statistical modeling, machine learning, computer science, and business to deliver effective solutions and ensure their adoption. We work with our client’s preferred tools, like R, Python, Azure, Power BI, Tableau, And Qlik. We are ISO 27001:2013 certified, meaning that we follow the strictest of IT security procedures and best-practices.


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11-50

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