Priyanka Yedla

AT&T Project:

• Based on QA results Created and maintained automated reports and dashboards to monitor data quality metrics, using tools like Tableau and Conducted root cause analysis on data quality issues to identify and address underlying problems, implementing corrective actions to prevent recurrence.
• Based on data from Database Led data cleansing initiatives to remove duplicates, correct inaccuracies, and standardize data formats, significantly improving the quality of analytical reports.
• Monitored and analyzed key performance metrics related to data quality and provided actionable insights to drive continuous improvement initiatives.
• Managed and optimized relational databases using SQL, performing tasks such as data retrieval, updating, and troubleshooting to ensure seamless data operations.
• Worked closely with cross-functional teams, including marketing, finance, and operations, to understand business needs and deliver data-driven solutions tailored to departmental goals.
• Demonstrated advanced proficiency in data analysis tools and programming languages, including SQL, Python, , Excel, and data visualization software(Tableau, Excel).
• Conducted in-depth trend analysis and generated actionable insights to drive business improvements, resulting in a 15% increase in operational efficiency

• Enhanced product quality by conducting rigorous manual testing and documenting variances from expected results.
• Conducted thorough data validation and testing on large datasets to identify and rectify data integrity issues, using tools such as SQL, Python, and Excel.
• Worked with Jira Itrack to get Userstories and log defect
• Identified and addressed process bottlenecks, streamlining workflows for faster turnaround times.
• Implemented continuous improvement protocol, significantly reducing occurrence of critical bugs in production.
• Developed comprehensive test cases to cover wide range of scenarios, ensuring thorough coverage of all features.
• Optimized resource utilization by effectively prioritizing tasks based on project timelines and risk assessment outcomes.