Shreeya Rishi Kairamkonda

• Lead operational analytics within a Google Workspace environment, designing structured reporting frameworks to support recurring leadership reviews and performance tracking. • Build automated analysis models using Google Sheets, advanced formulas, and data validation logic to standardize multi-source operational inputs and reduce reporting friction. • Develop reusable reporting templates and KPI monitoring tools enabling stakeholders to independently track performance and investigate metric variability. • Partner cross-functionally with operations and leadership teams to translate quantitative findings into process improvements and efficiency gains. • Document reporting logic, assumptions, and workflow processes to improve transparency and ensure analytical consistency across review cycles.

Led analytics initiatives that improved supplier quality and procurement efficiency. Reduced supplier failure rates through Excel-based analysis of GPU/server test data. Built real-time Power BI dashboards connected to live SQL to track lead times and defect rates. Automated Python workflows to cut quote approval time. Partnered with supply chain teams to define KPIs and implement alerting systems, reducing response time to at-risk vendors. Delivered full-cycle insights across SQL, Excel, and Tableau to support strategic sourcing decisions.

Improved viewer retention and increased ad revenue by identifying engagement drop-offs through behavioral pattern analysis. Built scalable Python ETL pipelines processing 1TB+ of social media data for real-time sentiment tracking. Analyzed unstructured feedback using Excel to surface behavioral drivers and optimize targeting. Designed Tableau dashboards with live SQL data to monitor sentiment, engagement, and content KPIs across segments.