With a background in Data Science, I found my place in Revenue Operations: making systems talk, turning data into clarity, and aligning teams to grow together. I use SQL, Python, BI, and automation to turn messy workflows into growth engines.
My journey has taken me through finance, commercial operations, analytics, and now RevOps always with the same mission: solving real problems with practical, elegant solutions.
Outside of revenue models and pipelines, I’m driven by curiosity, strong coffee, and sharing ideas with people who love to learn and build.