At Dotmatics (Siemens), I redesign product and revenue analytics by connecting product usage data with Salesforce and HubSpot to identify high-intent users and conversion signals. I also build A/B experimentation frameworks with Sales, Marketing, and Product teams to uncover upsell and cross-sell opportunities.
Previously at Semios Biotechnologies, I built and led the Revenue Operations and Analytics function across three post-acquisition business units. I rebuilt forecasting for $50M in IoT HaaS revenue, improving accuracy by 20% and contributing to more than $1.5M in inventory-related savings.
I led quote-to-cash integration across three CRMs, an ERP, and supporting systems, creating a unified revenue dataset for $80M+ ARR. I’ve also developed Python integrations that reduced deal processing time by 70% and automated commissions across seven plans for 40 sales staff.
My work spans analytics engineering, BI, CRM systems, data governance, forecasting, and operational process design. I turn complex revenue data into practical systems and insights that help teams plan, execute, and grow.
