At Agronom-sad, I redesigned revenue forecasting with driver-based modeling and scenario versioning, improving forecast accuracy from 72% to 89%. I also implemented a dynamic FP&A model that cut plan adjustment time from 8 hours to 20 minutes.
At Magnit, I developed a unified NPV/IRR/DPBP methodology for commercial initiatives. Across 30 initiatives managed, 12 major projects were approved, forming a portfolio of approximately $22M.
Earlier at Magnit, I managed retail projects and analyzed product categories, using Python, SQL, and BI tools. My work has spanned commercial finance, investment evaluation, and analytics in retail and agribusiness.

