KAVIN M

Data analyst and Power Bi
Data Modeling:Design and implement data models to ensure efficient data storage and retrieval.Develop relationships between different data sources for comprehensive analysis.Data Extraction and Transformation:Extract data from various sources, transform it into usable formats, and load it into Power BI.Utilize Power Query for data cleaning, transformation, and integration.Dashboard and Report Development:Create visually compelling dashboards and reports using Power BI Desktop.Implement interactive elements, such as slicers, filters, and drill-through actions.Data Visualization:Choose appropriate visualizations to effectively communicate insights.Optimize visualizations for user accessibility and understanding.**DAX (Data Analysis Expressions) Formulas

Data Preparation
Data Modeling
Report Building
Data Sharing & Collabration
Data Integration
Data Analysis & Insights
Data Governance & Security
Developed and maintained interactive Power BI reports and dashboards to visualize key performance indicators and support datadriven decision-making processes.
Designed and implemented complex data models to facilitate efficient data analysis, utilizing DAX (Data Analysis Expressions) for custom calculations and measures.
Conducted data cleansing and transformation using Power Query Editor to ensure data accuracy and consistency.
Extracted and integrated data from diverse sources, including databases, spreadsheets, and web services, for comprehensive analytics.
Collaborated closely with cross-functional teams to gather and understand reporting requirements, ensuring alignment with business objectives.
Optimized Power BI reports and dashboards for performance and user experience, addressing issues related to data volume and rendering speed.
Implemented data security measures, including role-level security, to protect sensitive information and ensure compliance with data governance standards.
Conducted training sessions for end-users to enable self-service reporting and dashboard creation, fostering data-driven decisionmaking across the organization.
Documented data sources, report specifications, and best practices to maintain a comprehensive knowledge base.
Stayed current with the latest Power BI updates, features, and industry trends, continuously improving reporting capabilities.