Sneha Mallikarjun

• Delivered enterprise-grade Power BI dashboards tracking operational KPIs, business
health, and executive metrics for cross-functional stakeholders.
• Built scalable data models and ETL pipelines, improving data integrity and streamlining
reporting workflows.
• Automated data extraction and reporting using Power Automate and KNIME, reducing
manual effort by 50% and improving operational efficiency.
• Optimized DAX measures and SQL queries, resulting in faster dashboard rendering and
improved responsiveness.
• Collaborated with stakeholders to define strategic KPIs, transforming complex datasets
into actionable insights for decision-making.
• Contributed to Cognos-based enterprise reporting initiatives, expanding coverage and
ensuring consistency across dashboards.
• Assisted in advanced analytics initiatives, including predictive KPI trend analysis and
forecasting dashboards.
• Provided training and mentoring to team members on Power BI, PowerApps and
analytics best practices, improving adoption and skill levels across the analytics team.
• Experienced in Microsoft Azure cloud services, including deployment, management, and
monitoring of cloud-based applications.
• Hands-on experience with Azure Virtual Machines, Azure App Services, and Azure
Storage solutions.
• Proficient in managing cloud infrastructure using Microsoft Azure.

• Developed customized Power BI dashboards aligned with client business objectives,
supporting real-time decision-making.
• Automated repetitive data transformation and reporting tasks using Power Query and
Power Automate, increasing team productivity and reducing manual errors.
• Optimized DAX calculations, report structures, and visuals, improving report load times
by 30%.
• Implemented UX/UI best practices for interactive dashboards, enhancing usability for
business stakeholders.
• Developed documentation and data dictionaries, improving accessibility of reports for
non-technical users by 30%.
• Supported version control and deployment workflows, ensuring governance, consistency,
and high-quality production dashboards.
• Assisted in preparing datasets for predictive analytics and trend forecasting, enabling
early identification of business opportunities.