Pavan Dinni

As an esteemed member of the Category team, my role involves close collaboration with business and partner teams to analyze data, extract insights, and present actionable findings through comprehensive reports and dashboards. The team's primary responsibility is to deliver timely and precise inputs, facilitating successful business outcomes with partners. The responsibilities undertaken by the team had a substantial impact on customer purchasing decisions and made notable contributions to Amazon's overall revenue and profitability.

• 2 years of experience in working with relational databases(RDBMS), query authoring (SQL), and familiarity with a variety of database’s and extracting data from S3 buckets, worked on ETL (Extract, Transform, Load) tools to extract bulk data.
• Expertise in using Excel for manipulation and analysis of the data.
• Expertise in extracting data from various sources and performing various data transformation and analysis.
• Expertise in data cleaning, uncovering insights, and maintaining BI reporting environment.
• Created impactful Power BI dashboards, contributed to effective reporting on Power BI, and utilized JIRA for tracking and workflow.
• Skilled in statistical techniques, Redshift data extraction, and Kibana dashboard utilization.
• Engaged with stakeholders to fill the gaps and resolve complex issues. And, worked on SWOT analysis for better business approach.
• Analyze business requirements and solutions. Facilitate effective and efficient stakeholder collaboration with some assistance from the Lead’s.
• Documented the complex issues faced in the business operations of the process, plus project artifacts owned by the associates.
• Run UAT execution and produced deep gaps analysis reports/documents. Worked on “Root cause analysis” and improved the business operations.

• In my role as an Associate Consultant, I held the responsibility of Database developer and maintaining company's database for assigned processes.
• I collaborated with business, automation, and technology teams to propel operational and system improvements, thereby contributing to comprehensive business enhancements.