Swathi Kumari

Data Analyst and Prompt Engineer with 3.3+ years at Deloitte Consulting, combining expertise in Power BI, SQL Server, DAX, and SSAS with hands-on Generative AI experience. Built end-to-end analytics solutions serving 200+ stakeholders across healthcare and financial domains, and developed 8, 000+ prompt-completion pairs for large-scale LLM training as part of Project Bedrock. Additionally designed AI-powered analytical frameworks for life sciences use cases including HCP Micro Segmentation and Contract Performance Advisory. Holds Microsoft certifications in Power BI (PL-300) and Azure Data Fundamentals (DP-900), and was awarded the Deloitte Prompt Engineer Badge and SPOT Award for outstanding delivery.

• Designed and delivered 10+ interactive Power BI dashboards for healthcare and financial clients, enabling
real-time KPI monitoring across 200+ stakeholders and reducing ad-hoc reporting requests by ~35%.
• Engineered SQL Server (SSMS) queries, stored procedures, and views to extract, clean, and transform
large-scale datasets (10M+ rows), cutting data processing time by 40%.
• Built SSAS cubes on top of SQL views and connected them to Power BI, enabling sub-second query
performance for complex multi-dimensional analysis.
• Developed advanced DAX measures and calculated columns to track business KPIs including revenue
trends, patient volume, and operational efficiency metrics.
• Integrated Salesforce CRM data with SQL Server pipelines, delivering near-real-time data feeds to Power BI
dashboards for sales performance tracking.
• Published and maintained reports on Azure-based Power BI Server, managing deployment across
Development, SIT, and Production environments.
• Collaborated with senior stakeholders in requirement-gathering sessions and translated business needs into
analytical deliverables, consistently meeting tight deadlines.
• Created client-ready insight decks and management presentations summarizing findings, trends, and data
driven recommendations for leadership review.

• Built end-to-end analytics solution a healthcare client, processing data via to
deliver near-real-time dashboards on trends and KPIs.
• Created 15+ DAX measures and SSAS cubes, reducing dashboard load time by 50% and enabling self
service analytics for clinical and teams.
• Deployed reports across Azure Power BI Server environments, ensuring 99.9% uptime and version
controlled releases. Analysis

• Developed and quality-assured 8, 000+ prompt-completion pairs for large language model training, applying
statistical sampling and consistency checks to maintain data quality standards.
• Reviewed and scored 2, 000+ prompt sets against structured rubrics, contributing to measurable
improvements in model output accuracy and coherence.
• Recognized with the Prompt Engineer Badge for exceptional quality and delivery in AI training data pipeline.