Domain- Entertainment•Curated and implemented a personalized song recommendation engine, leveraging insights from historical data and user behavior analysis. Which enhanced the customer experience, resulting in a significant increase in overall playtime on our platform•Collaborated closely with the engineering team to design and implement a robust end-to-end data pipeline and developing and optimizing SP to facilitate database operations• Performed Post Product Add-on analysis using A/B testing to compare lift in CTR•Assisted customer behavioral classification process using RFM model.• Produced interactive, information-rich Power BI reports to c for the QA team withadvanced DAX features, collaborating with users and stakeholders on live data sources. achieving a substantial 40% reduction in manual reporting time•Developing E2E automation process using AWS services (Lambda (python), SNS, S3, Cloud watch, IAM).Domain- PharmaceuticalElectronic data capture Dashboard•Designed and developed an EDC (Electronic Data Capture) dashboard that enabled business usersto effectively measure and track operational performance through interactive visualizations within a context of collaboration.•Created high-level reports with a focus on monthly medicine impact assessment, utilizing a red-green flag system to highlight critical insights. These reports provided a comprehensive overview of study performance.• Set up Oracle database links, crafted complex filters, and implemented data functions. Improved user experience with custom expressions and controls, implementing Filter Schemes for precise visualization control.

Ticketing System Dashboard•Developed a dynamic dashboard facilitating the real-time monitoring of support team performance, allowing for analysis based on priority, volume, source, and other key metrics.• Implemented daily, weekly, and monthly ticket flow monitoring, insights into trends and scope for improvement.• Enhanced resource management by focusing on critical areas, team performance, resource tracking, SLA (Service Level Agreement) compliance, and resolution time. Achieved a remarkable 20% increase in SLA completion rates.• Customized data presentation and interaction with data table properties, property controls, filters, and custom functions. Seamlessly connected to diverse data sources through complex query information links and Implemented Filter Schemes to effectively isolate and control filter behaviors on visualizations

1. Analytics and Visualization• Enhanced better funnel conversion by reducing drop-offs at each stage of the online/offline funnel through targeted optimizations and engagement strategies.• Executed targeted customer acquisition campaigns for college students offering low cost calling and free SMS, refined retention strategies, and analyzed customer churn using the RFM model for informed decision-making.•Designed and developed an Order Volume dashboard offering a quick, comprehensive view of enterprise-level orders dropped and order drop percentages, enhancing real-time order monitoring. Resulting in a significant 15% reduction in overall stuck order count and 0.5-1% increase in sales for select plans• Introduced daily, weekly, and monthly views to facilitate in-depth analysis of order volume, empowering account managers to validate order drop details on an hourly or daily basis.• Proactively monitored market trends and stock performance, providing tailored stock recommendations toclients.• Implemented effective digital marketing strategies to acquire and retain new clients, driving business growth and enhancing customer loyalty.• Evaluated the Redemption prediction and Churn model's performance through rigorous monitoring and analysis2. IM and Operations•Acting offshore lead for ASAP domain, wherein was responsible for ensuring all activities are completed within SLA.•Order Management: Experience in E2E Order Management, driving complex triaging of live orders stuck at ASAP (Activation and Provisioning) layer in OSS stack, Network layer (HLR, IMS, Surpay, EMA, MTAS)• Incident Management and Solution Delivery: Worked with L3 for Incident/PBI analysis through analyzing the log, reducing the overall stuck order count by 30%•Unix Scripting: Automated the manual work by creating different menu driven scripts which helped in performing tedious task for ASAP by just providing single input from user, saved time and efforts for the team.