Anna Ledvyzhko

- owned the analytics lifecycle for AI-powered chatbot features; - collaborated with PM-Ts and Technical Program Managers to align data strategy with roadmap milestones; - collaborated with Data Engineers on the design of 'Silver Layer' tables in Amazon Redshift, ensuring high-quality, queryable data for downstream BI; - reviewed and influenced the design of new logging events to ensure 100% accuracy in capturing user-AI interactions; - utilized Splunk for deep-dive validation of data accuracy; - facilitate

- sole Product Analyst in a Software Development team; owned all reporting for Weekly/Monthly Business Reviews (WBR/MBR); - conducted deep-dive analysis on internal tool usage to identify friction points; - prepared technical requirements for SDEs to enhance telemetry and tested logging correctness for critical internal products; - optimized technical workflows by building serverless data pipelines. Developed AWS Lambda functions to extract CloudWatch logs, automate storage in S3/Athena, and enable SQL-base

- owned the analytics of the internal tools in order to improve the users experience and performance; - conducted deep-dive analysis on internal tool usage to identify friction points; - prepared technical requirements for SDEs to enhance telemetry and tested logging correctness for critical internal products.

- owned the analytics of the internal tools in order to improve the users experience and performance; - conducted deep-dive analysis on internal tool usage to identify friction points; - prepared technical requirements for SDEs to enhance telemetry and tested logging correctness for critical internal products.

- defined and implemented performance metrics for large-scale data management teams (Data Annotators); - developed custom statistics and benchmarks to evaluate internal operational efficiency; - delivered rapid-turnaround reports and automated Tableau dashboards to monitor workforce performance in real-time.

- defined and implemented performance metrics for large-scale data management teams (Data Annotators); - developed custom statistics and benchmarks to evaluate internal operational efficiency; - delivered rapid-turnaround reports and automated Tableau dashboards to monitor workforce performance in real-time.