Conducted in-depth data analysis using SQL, Python, and Excel to extract meaningful insights., Cleaned and preprocessed large datasets to ensure data accuracy and reliability., Identified trends, outliers, and patterns in data, enabling informed decision making., Created interactive and visually compelling dashboards and reports using Tableau and Power BI., Translated complex data into easy-to-understand visualizations for stakeholders., Improved data presentation, enhancing the accessibility of insights., Implemented data quality checks and validation processes to ensure data integrity., Collaborated with cross-functional teams to rectify data discrepancies and inconsistencies., Established data governance protocols to maintain data quality standards., Generated and distributed regular performance reports to inform stakeholders., Presented complex analytical findings to non-technical audiences in a clear and concise manner., Facilitated data-driven discussions and decision-making in team meetings., Extracted, transformed, and loaded (ETL) data from various sources into data warehouses., Managed and optimized SQL databases, improving query performance., Created data dictionaries and documentation for data assets., Worked collaboratively with business analysts and stakeholders to define data requirements., Worked with many analysts and provided insights on data analysis best practices., Kept abreast of industry trends, emerging technologies, and best practices in data analysis., Participated in training and workshops to enhance skills in data science and analytics.