Tejaswini Tulasi

• Managing and maintaining the enterprise semantic model for business performance reporting, ensuring data accuracy, consistency, and scalability.
• Developed and tracked People KPIs for collections, sales, and sales operations teams, focusing on target vs actual performance analysis.
• Built Power BI dashboards to monitor individual and team performance, helping leadership identify gaps and improve productivity.
• Designed KPI frameworks aligned with business goals, enabling better performance evaluation and accountability.
• Collaborated closely with business stakeholders to refine metrics and ensure reports reflect real-time business needs.

• Built interactive Power BI dashboards to analyze sales performance across regions, products, brands, and customers.
• Delivered reporting solutions for procurement, inventory, and stock analysis, enabling better demand vs supply visibility.
• Designed end-to-end data solutions using Microsoft Fabric (Lakehouse, Dataflows, Pipelines) by integrating ERP, SharePoint, Excel, and API data.
• Used PySpark in Fabric notebooks for large-scale data transformation and improved processing efficiency.
• Created Paginated Reports (RDL) for detailed operational reporting.
• Worked closely with business teams and conducted UAT sessions and trainings to improve report adoption.

• Developed and maintained Power BI KPI dashboards for contact center and back-office teams, enabling real-time visibility into operational performance.
• Tracked and analyzed key customer service KPIs including First Call Resolution (FCR), Average Handling Time (AHT), Service Level, backlog, and customer satisfaction (CSAT).
• Created agent-wise and team-wise performance views, helping managers identify performance gaps and improve productivity.
• Optimized data models and reduced dataset size to improve dashboard performance and scalability.
• Provided insights on SLA adherence, case resolution efficiency, and queue performance, supporting better operational control.
• Worked closely with stakeholders to define KPIs and translate business requirements into meaningful, easy-to-use reports.
• Delivered regular reports and presentations to management, highlighting trends, risks, and opportunities for continuous improvement.

Data Migration & Reporting Enhancement Inventory & Procurement Analytics HR & Production Planning Analytics

• Built a Microsoft Fabric Lakehouse to integrate data from a new source system, creating a centralized and reliable reporting layer.
• Validated and reconciled reports between legacy and new systems to ensure data accuracy and consistency.
• Used PySpark to extract and transform data from APIs, supporting efficient handling of large datasets.
• Automated data processing workflows using Azure Data Factory (ADF) for smooth and timely execution of pipelines.
• Worked closely with stakeholders to ensure the new system met business requirements and reporting expectations.
• Provided training and ongoing support to users, helping them smoothly transition to the new reporting environment.
• Developed dashboards to analyze inventory levels, demand vs supply gaps, and stock movements for manufacturing operations.
• Identified critical shortages and supported procurement planning to ensure timely stock replenishment.
• Monitored stock trends and averages to maintain optimal inventory levels and avoid overstocking or stockouts.
• Analyzed procurement data to identify trends and improve purchasing strategies and cost efficiency.
• Evaluated supplier performance based on delivery timelines, highlighting reliable and underperforming vendors.
• Identified unnecessary procurement and non-essential items, helping reduce costs and focus on critical components for production.
• Built reports to track labor allocation, productivity, and cost efficiency across manufacturing units.
• Analyzed employee time utilization using data captured through Power Apps, improving visibility into productive hours.
• Supported planning teams with insights for better forecasting and resource allocation.
• Identified opportunities to improve efficiency and reduce costs through detailed analysis of labor and production data.
• Enabled data-driven decision-making to enhance overall operational performance.

• Built dashboards to analyze sales trends and performance, helping identify key opportunities and issues.
• Performed variance analysis to compare actual vs expected sales and highlight gaps.
• Tracked MTD and YTD sales performance to support business decision-making.
• Worked closely with clients to understand requirements and deliver meaningful reports.
• Prepared and structured data to ensure it was ready for reporting and visualization.
• Created interactive dashboards using Power BI and Tableau, with features like filters and drill-downs.
• Published dashboards to the server and supported users in accessing and using reports.