Visualize Chatbot/Response Data to Inform Business Decisions
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Jainik Majmudar
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Use Python to build an interactive visualization tool and report that gathers insights on user-chatbot/customer care response interactions
In this Build Project, you’ll wear the hat of Business Intelligence Engineer, by working on Customer Support on Twitter dataset, which is a large, modern corpus of tweets and replies to check, analyze and understand the pattern and conversations, and for study of modern customer support practices and impact.
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Jainik is a Business Intelligence Build Fellow at Open Avenues, leading student projects in Business Intelligence and Data Reporting. He also serves as a Business Intelligence/Data Engineer at Businessolver, where he collaborates with product managers, data scientists, and business stakeholders to drive decision-making and product innovation. Jainik focuses on developing scalable and automated data processes using AWS Athena and BI tools to enhance customer-facing reporting and streamline operations. With over three years of experience, he has previously automated data processes and supported upper management with business insights using BI tools. Jainik holds a Master's degree in Informatics with a concentration in Data Analytics
