Major Duties:Data Collection & Cleansing: Gathered, cleaned, and validated datasets from various sources, ensuring high data quality and integrity.Statistical Analysis: Conducted advanced statistical analysis using tools like Python, R, and SQL to uncover trends and patterns.Data Visualization: Created insightful and interactive visualizations with tools such as Tableau, Power BI, and Matplotlib for stakeholders.Predictive Modeling: Developed and implemented predictive models using machine learning techniques to forecast business outcomes and improve decision-making.Reporting & Insights: Delivered clear, actionable reports and dashboards to management, driving data-driven strategies and optimizations.Key Projects & Successes:Customer Churn Prediction Model: Built a machine learning model that reduced customer churn by 15%, increasing retention through targeted marketing campaigns.Sales Forecasting Tool: Developed a forecasting tool for sales performance, resulting in a 10% improvement in inventory management and resource allocation.Marketing Campaign Analytics: Analyzed multi-channel marketing campaigns, identifying a 25% increase in ROI by optimizing channel mix and targeting.Operational Efficiency: Led an initiative to streamline internal processes, saving 200 hours annually through automation in data workflows.Customer Segmentation: Implemented advanced segmentation techniques, improving customer targeting and personalization, resulting in a 20% increase in conversion rates.