Taylor Paul

Successes: - Delivered end-to-end custom Power BI solutions for 25 clients across transportation, insurance, healthcare, and retail, shaping data models, dashboards, and KPIs to align with executive and departmental goals and significantly improving reporting accuracy and usability. - Streamlined Power BI data ingestion by integrating API endpoints with Azure Dataflows, achieving 30% faster refresh times, eliminating manual, error-prone processes, and establishing reusable ingestion patterns. - Drove enterprise-wide Power BI governance and workspace strategy, implementing RLS, OLS, and granular access control for finance and HR reports across a 500-user environment to ensure compliance, data confidentiality, and scalable report distribution. - Integrated Microsoft Purview with Power BI to enable enterprise-wide data governance and lineage tracking, ensuring reports built on Azure Synapse and SQL Server used certified datasets, improving HIPAA compliance via RLS on sensitive fields, and accelerating dashboard delivery by 25% through easier dataset discovery. - Led a 4.5-year reporting modernization as a freelance Power BI SME, consolidating 15,000+ legacy reports into an organized, secure suite of Power BI dashboards for a major insurance company, significantly enhancing data insights and executive decision-making efficiency. - Replaced static Crystal and SSRS reports with Power BI interactive and paginated solutions, centralizing business logic in reusable semantic models, delivering pixel-perfect, branded outputs, and retiring 90+ Crystal reports while completing 7 SSRS-to-paginated migrations across transportation, supply chain, healthcare, and insurance.

I led the delivery of unified data platforms for life insurance analytics, using Azure Data Factory, Databricks, and Synapse to boost data processing speeds by over 40% and cut turnaround time from days to under 24 hours. By integrating policy, claims, and risk data into Power BI and optimizing SQL/SSRS/Tableau workloads, I improved query performance by ~30% and drove data accuracy to 99% for faster, sharper decision-making.

I optimized transportation routes and built data-driven cost models that increased efficiency by over 40%, cut $300K in costs within four months, and reduced redundant drive cycles by 60%.

I led a team of 4 business analysts to resolve third-tier production issues, increasing system efficiency by 36% and streamlining processes.

I processed over 1 million daily records to ensure data quality and uncover trends that optimized operations and partnered with marketing to target key demographics for product launches, increasing engagement by 20% in test campaigns.

- PAC-12 All-Academic Team Member - PAC-12 Tournament Most Outstanding Player (2015)

- Division I women's basketball player - PAC-12 All-Academic team member - Two Final 4 appearances - Named "Most Outstanding Player" of the 2015 PAC-12 tournament