Data Analysis & Reporting:Increased reporting efficiency by 50% through integrating SQL Server Database with Power BI for real-time insights.Optimized inventory and purchases by analyzing five years of historical data to identify slow-moving, fast-moving, and dead stock, leading to a 15% reduction in inventory costs.Empowered non-technical business users with data-driven decision-making through interactive Power BI reports, resulting in a 20% increase in customer satisfaction.Unified the performance of three stores by combining data from different databases using SQL and visualizing it side-by-side in Power BI, enabling comparative analysis and informed decision-making.Responded to ad-hoc requests by leveraging SQL to extract relevant data and Power BI to visualize it for key stakeholders, ensuring timely communication and informed action.Database Development:Conceptualized and implemented a new database, applying normalization principles and indexing techniques for optimal data storage and retrieval.Developed and implemented advanced SQL features like stored procedures and functions to streamline data interaction and enhance code reusability.Simplified complex SQL queries through the use of temporary tables and Common Table Expressions (CTEs), improving code readability and maintainability.

Collect, clean, and analyze data from various sources i-e sales data and customer feedback.Develop and maintain data models and dashboards to track key performance indicators (KPIs).Identify trends, patterns, and correlations in data to inform strategic decision-making.Analyze inventory data to optimize stock levels, minimize waste, and improve forecasting accuracy.Develop and implement data-driven solutions to improve operational efficiency and reduce costs.Create reports and presentations to communicate insights to stakeholders at all levels.Stay up-to-date with the latest industry trends and best practices in data analysis.