Dhanashri P.

Collaborated with enterprise clients and business stakeholders to understand business requirements, define KPIs, and provide data-driven analytical solutions. Conducted customer segmentation, audience profiling, and behavioral analysis for over 5 enterprise clients, facilitating targeted campaign execution. Created and managed weekly campaign performance trackers that monitored deliveries, clicks, conversions, revenue, ROI, and ACOS across various channels such as SMS, WhatsApp, Email, and RCS, enhancing campaign optimization speed. Developed the Customer Single View (CSV) by merging customer, transaction, and engagement data from multiple sources to support comprehensive CRM analytics. Produced post-campaign dashboards and executive reports using Power BI for business reviews with C-level stakeholders. Conducted root cause analysis on campaign discrepancies to identify data quality issues and implemented corrective ETL workflows for accurate reporting. Designed and maintained ETL workflows that supported daily campaign execution, data transformation, and automated reporting, significantly reducing manual effort. Effectively utilized AI tools such as Claude, ChatGPT, and Gemini for SQL development, Python automation, insight generation, and drafting executive narratives, substantially decreasing analytical turnaround time.

Created Python-based data validation frameworks to pinpoint and address data quality issues in extensive financial datasets, enhancing data reliability. Oversaw AWS-based data pipelines incorporating services like Lambda, S3, Athena, EC2, SNS, SQS, and DynamoDB, achieving over 99% uptime for critical business workflows. Established data governance and master data management (MDM) practices that set standards to minimize data discrepancies among cross-functional teams. Automated validation and reporting workflows using Python tools such as Pandas and NumPy, leading to a reduction in manual data processing time and allowing for quicker ad hoc analysis. Conducted API testing and validation employing Postman and AWS services to guarantee data integrity within system integrations. Completed data quality audits and reliability assessments on business-critical datasets within an Agile environment, collaborating with teams across different functions.