I turn noise into narratives and data into direction. With a strong foundation in forecasting, attribution modeling, and business intelligence, I thrive at the intersection of data science and decision-making. At Amazon, I lead end-to-end forecasting for Ads Support across geographies and channels, bridging the gap between deep analytics and actionable strategy. From building time series models (SARIMA, Prophet) to developing revenue attribution frameworks that eliminate double counting — I don’t just analyze data, I give it purpose. ✨ What sets me apart? Translating complex models into crisp insights for leadership Creating forecasting systems that actually get adopted Partnering cross-functionally with Finance, Ops, and DS teams Constantly optimizing — whether it’s a forecast, a dashboard, or a sentence Also a proud dad, part-time bedtime storyteller, and full-time learner. Let’s connect if you're into turning spreadsheets into strategy and stories that spark action. Specialities:- Python, Advanced Excel, Macro, VBA, SQL, Statistical Analysis, Predictive Modeling, Linear Regression,Business Analysis,Forecasting,Exploratory data Analysis (EDA)