Generating ad-hoc reports on product performance, identifying a 8% increase in sales for high-margin items, which influenced future marketing strategies Contributed to the development of a data-driven pricing strategy by analyzing competitor trends Analyzed large datasets using Python to identify seasonal sales trends, driving a 10% increase in operational efficiency by optimizing inventory levels. Developed complex SQL queries to extract, clean, and analyze data from a customer database of 1 million records, ensuring 98% data accuracy for reporting and decision-making. Automated 10+ interactive dashboards using Power BI, reducing manual reporting efforts by 10 hours per week and providing real-time insights for management Collaborate with IT and data teams to maintain data quality and consistency. Proactively identify areas for automation and improvement in reporting processes. Monitor and troubleshoot issues in data pipelines and report performance. Present insights in meetings with clear, concise explanations. Analysis the outlet wise P&L & Prepared power point Presentation for management review

Gather data from various sources (databases, web scraping, etc.).Clean, preprocess, and validate data to ensure accuracy and consistency.Maintain organized data storage and retrieval systems.Explore and analyze large datasets to identify trends, patterns, and outliers.Perform statistical analyses to extract meaningful insights.Create dashboards, reports, and visualizations to present findings clearly.Communicate complex data insights to non-technical stakeholders.

 Gather and preprocess data for accuracy Identify trends, patterns, and insights using tools like Excel, SQL Create reports and dashboards with tools like Power BI Track KPIs, forecast trends, and improve processes. Work with cross-functional teams to meet business goals. Ensure data quality and compliance with regulations. Validate the quality of the data being analyzed. Translate business problems into data-driven solutions.

Install and configure Oracle database software and tools.Set up database environments for development, testing, and production.Design and implement backup strategies to prevent data loss.Managing data file objects including tablespace and datafilesObject sizing, managing user profiles, and indexesCreating user and managing user accounts,Performance Monitoring the Server’s for Better performanceAdding space to the data files according to tablespace growthAdding space to the data files according to tablespace growthBackup and Recovery strategies for Oracle database using exp/imp, cold and Hot backups.Taking export backup of tables for future database recovery.