Leveraging SQL to manage large datasets, conduct complex analyses, and derive actionable insights.Cleaned data by removing duplicates and handling missing values.Optimized SQL queries to identify correlations, trends, and validate assumptions for better data analysis.

Analyzed large datasets using SQL to support business decisions.Create and maintain Tableau dashboards that showcase key metrics and trends.Clean and organize data using Python for accurate reporting and analysis.Collaborate with cross-functional teams to solve problems through data-driven solutions.Use R to find patterns and trends in business data.Help forecast and analyze trends to inform business strategies.Build easy-to-understand charts and dashboards using Power BI and Tableau.Ensure data accuracy by fixing issues like missing or incorrect information.

Streamlined data preparation and cleaning using SQL, improving dataset accuracy for business analysis.Created interactive dashboards with Tableau to track key business metrics and visualize data trends.Conducted data analysis using Python, providing actionable insights for optimizing marketing strategies.Developed automated reporting systems in Power BI, reducing manual reporting efforts and improving decision-making speed.Collaborated with stakeholders to implement data-driven solutions, improving operational efficiency and sales performance.Used Excel to perform comprehensive financial modeling and sales forecasting for business planning.Applied statistical methods in R to analyze market behavior and predict future trends for strategic decision-making.Led cross-functional data projects, translating business needs into data solutions that enhanced performance tracking.