Gopi Salidandi

• Manage End‑to‑End Power BI Projects, covering requirements gathering, design, development, testing and deployment to ensure on‑time, scalable deliverables.
• Interface Regularly with Stakeholders (weekly calls) to define KPIs, set timelines and validate insights, ensuring transparent progress and alignment.
• Deliver Deep HCP & KOL Analytics across products, channels and specialties to shape engagement strategies and field‑force effectiveness.
• Integrate Clinical & Real‑World Data into BI platforms, creating a unified view of operations that supports strategic planning and patient‑centric decisions.
• Analyze Clinical Data Outputs to identify trends, evaluate treatment efficacy and inform portfolio strategy.
• Lead Knowledge Sharing Initiatives to upskill teams on the latest Power BI features and best practices, fostering continuous learning.
• Optimize Operations with Smartsheet, building custom forms, dashboards and automated workflows for robust project tracking and governance.
• Translate Business Needs into Analytics Solutions by converting high‑level goals into Power BI functional specs that drive medical outcomes.
• Expert in One CRM, with hands-on experience in creating surveys, managing product configurations (adding/removing), and discussion topics for comprehensive stakeholder engagement tracking.

Project: Customer Attrition Analysis – U.S. Bank

Technologies: Microsoft Power BI, SQL Server

• Led and mentored a team of three analysts, ensuring timely delivery of all project milestones while significantly boosting team productivity and improving report accuracy.
• Implemented churn calculation methodologies (both hard and soft), enabling accurate identification of at-risk customers.
• Designed and deployed 5+ executive-level dashboards, utilizing advanced visualizations (e.g., waterfall and funnel charts) to support churn analysis and drive stakeholder adoption.
• Optimized data models using advanced DAX functions such as LOOKUPVALUE and RELATED, improving performance and reducing report refresh times.
• Configured cross-report slicers across 20+ report pages, enhancing navigation and overall report accessibility.
• Developed a six-month rolling-window model in Power BI, increasing the reliability and accuracy of trend analyses.
• Collaborated with Python developers to integrate and validate churn prediction algorithms, ensuring consistency and accuracy across platforms.