At ProcDNA, I own the data and reporting for an HCP and HCO referral network product at a top-20 global biopharma. I built and refactored its referral datamarts in Databricks and PySpark, then redesigned the Tableau front end as a multi-screen app.
I also built a Power BI launch tracker for a cardiometabolic biotech, covering rep reach, call activity and speaker programs. For a three-brand rare-disease portfolio, I designed and documented incentive compensation plans and analyzed pay for performance.
Previously, at Analitica Global, I built PySpark and Spark SQL pipelines in Azure Synapse that loaded more than 1 TB of multi-source data weekly for a North American beverage company. I also built a Power BI forecasting tool that surfaced over $450M in incremental revenue opportunities and cut scenario-planning time by 80%.
Across consumer goods and biopharma work, I’ve built analytics-ready models and dashboards, alongside documentation and data quality checks that help client teams run and audit their products. I’m SnowPro Core certified and hold Microsoft certifications in Power BI data analysis and Fabric data engineering.
