About

Anurag Swain is a dynamic Product Management Executive with 4.20 years of experience in the field. Currently working with Veena World, he has built the Guest Feedback module that collects post-tour feedback from guests via email and designed the feedback survey (desktop and mobile) for guests to rate the tour and tour managers. He has also created a provision for the Guest Relations team to display the feedback with photos received on the website. Anurag has weekly meetings with the GR team to understand their requirements and processes to build enhancements for the Guest Feedback Module. He has created BRD/PR and FSD documents for the projects and feature enhancements and coordinated with the UI/UX, developers, and testers throughout the product life-cycle to ideate, build, test on beta, do UAT, prod deployment the Guest Feedback Module, and collect user response to iterate and build enhancements. Anurag has used Balsamiq for creating low fidelity wire-frames and the Youtrack tracker and agile-boards for tracking progress of user-stories, tasks, and bugs. He is currently working on charting the user journey for receiving SMS, WhatsApp, and emails from booking to departure. He has also ideated and tested the VW guest app prototype. Before joining Veena World, Anurag worked with Testbook.com as an Analyst where he worked with multiple teams to understand their CRM requirements. He tested the product release along with the QA team for the Testbook App using Webengage and Firebase. He built visualization dashboards using Redash for analysis by the Marketing, Content, and Telesales team to provide insights into their sales and campaigns and tutor ratings. Anurag used Google Analytics to track top funnel metrics for the Testbook website. He worked on the CRM database in conjunction with Redash and Metabase to track the conversion of leads to paid users and coordinated with the marketing team to provide analysis of their marketing campaigns. He also prepared and logged monthly and quarterly key performance metrics for the company on Excel and onboarded new joiners in the analyst team. Anurag has also worked with Culture Machine as an Analyst where he automated the weekly data extraction for CultureMachine and competitor’s Youtube channels using Python and Youtube API. He wrote scripts in R and used Twitter API to build a dashboard-based utility that tracked changes in popularity of Twitter topics. Anurag holds a BTech degree in Computer Science from KIIT University. He is skilled in