Ruchika Pandey

• Developed end-to-end automation test scripts using Playwright & typescript for regression and API testing.
• Used Postman for REST API testing for validating back-end flows.
• Collaborated with Product, DevOps, and QA to debug platform issues and optimize release quality.
• Maintained and extended in-house automation framework to support new features and release cycles.
• Contributed to AI chatbot training and analytics for Country Delight’s customer app, providing user-centric enhancements and logic improvements.
• Proposed and implemented innovative business ideas and automation solutions to improve customer engagement and operational efficiency.

• Company Overview: Client: Adobe
• Acted as the primary interface between Adobe’s backend product systems and end users, resolving technical and functional issues via Salesforce CRM and automated API solutions.
• Delivered insights on usage trends, issue hotspots, and feature requests by analyzing support data—contributing to product quality and UX improvements.
• Built automated reporting workflows using Python and SQL, improving response time and internal SLA tracking.
• Collaborated with product, QA, and tech teams to prioritize high-impact fixes and feature enhancements.

• Designed interactive dashboards (Power BI) for operational KPIs including session tracking, escalation management, and faculty performance audits.
• Conducted data deep-dives on ETL pipelines, validating large volumes using SQL, ACL Diligent, and Dolphin, enhancing trust in audit accuracy.
• Optimized shift schedules and resolved ticket bottlenecks by analyzing queue delays and escalation trends.
• Spearheaded cohort-based performance reviews to track operational efficiency and batch ROI.

• Led exploratory data analysis and modeling for retail and sports datasets using Python, SQL, and Power BI.
• Converted raw business problems into analytical frameworks, building end-to-end dashboards and predictive models.