Lead Data Scientist
CurrentAs Lead Data Scientist, I drive Walmart’s Data Science initiatives to optimize marketing strategies and improve customer engagement. My role involves hands-on development and deployment of Machine Learning algorithms for Campaign measurement and Customer segmentation, directly influencing Walmart’s marketing success.Key Responsibilities:• Developed and implemented ML models (e.g., KNN, Random Forest, XGBoost) to perform customer segmentation for personalized marketing campaigns, improving targeting precision and driving increased ROI.• Applied advanced attribution methodologies like MMM, MTA, and LTA to analyze and measure campaign performance across various channels, contributing to a 11% improvement in ROAS.• Built Time Series Forecasting models using ARIMA and Fbprophet to predict traffic and revenue, ensuring accurate demand planning and strategic marketing decisions.• Collaborated with cross-functional teams (Data Engineering, Product, Marketing) to ensure smooth model deployment and alignment of data science efforts with business goals.• Presented key findings and actionable insights to Walmart’s Senior Leadership, enabling data-driven decision-making and refining marketing strategies.Technologies: Python, SQL, Power BI, Tableau, Scikit-learn
