Hands-on Data Science professional with over 12 years of experience in developing and deploying Machine Learning algorithms for Campaign measurement and Customer segmentation at Walmart. Skilled in using advanced methodologies like Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), and Last Touch Attribution (LTA) to provide actionable insights that enhance marketing strategy and optimize resource allocation.Key achievements:• Customer Segmentation: Built and deployed ML models (e.g., KNN, Random Forest, XGBoost) for targeted marketing campaigns, improving ROI and precision in customer engagement.• Campaign Measurement: Delivered granular performance analysis across channels using advanced attribution models, driving 11% increase in ROAS.• Forecasting: Developed Time Series Forecasting models (e.g., ARIMA, FbProphet) to predict traffic and revenue, ensuring accurate demand planning and strategic decision-making.Proven ability to distill complex datasets into actionable insights for senior leadership while ensuring seamless collaboration across cross-functional teams (Data Engineering, Product, Marketing). Adept at leveraging Python, SQL, Power BI, and Tableau to drive impactful business outcomes.