Led a healthcare analytics project focused on improving patient care outcomes through advanced data analytics, resulting in a 30% increase in stakeholder engagement, 10% reduction in adverse events, and 20% improvement in readmission risk prediction accuracy.Led a healthcare analytics project, driving improvements in patient care and operational efficiency.Utilized Agile methodologies for iterative project execution, achieving a measurable boost in patient satisfaction… Show more Led a healthcare analytics project focused on improving patient care outcomes through advanced data analytics, resulting in a 30% increase in stakeholder engagement, 10% reduction in adverse events, and 20% improvement in readmission risk prediction accuracy.Led a healthcare analytics project, driving improvements in patient care and operational efficiency.Utilized Agile methodologies for iterative project execution, achieving a measurable boost in patient satisfaction scores.Designed and implemented Power BI dashboards for real-time KPIs, enabling data-driven decision-making.Applied machine learning models (Random Forest, Gradient Boosting) to predict health risks, improving care management.Conducted A/B testing to optimize treatment protocols and improve outcomes.Developed predictive models using TensorFlow, enhancing readmission risk predictions.Streamlined ETL processes using Apache Airflow to integrate healthcare data from various sources efficiently. Show less

Customer Behavior AnalysisIncreased Sales by 20%: Leveraged advanced data insights and NumPy for efficient data cleaning and preprocessing across retail datasets.Dashboard Development: Created interactive dashboards in Tableau to display sales trends and inventory metrics, enhancing decision-making and operational efficiency.Report Optimization: Improved report generation efficiency by 30% through SQL Server Reporting Services and optimized MySQL queries.Customer Analysis: Used… Show more Customer Behavior AnalysisIncreased Sales by 20%: Leveraged advanced data insights and NumPy for efficient data cleaning and preprocessing across retail datasets.Dashboard Development: Created interactive dashboards in Tableau to display sales trends and inventory metrics, enhancing decision-making and operational efficiency.Report Optimization: Improved report generation efficiency by 30% through SQL Server Reporting Services and optimized MySQL queries.Customer Analysis: Used K-Means clustering to analyze purchasing behavior, resulting in a 15% increase in targeted promotions.Campaign Evaluation: Applied regression analysis to assess marketing effectiveness, improving campaign ROI by 18%.Cross-functional collaboration: Defined data requirements for projects, ensuring alignment with business objectives.Team Training: Conducted sessions on data visualization best practices, fostering data literacy.Project Management: Oversaw full SDLC projects from requirements gathering to deployment.Fraud Detection Optimization InitiativeQuery Optimization: Achieved a 30% performance boost by optimizing MySQL queries for data retrieval.Cloud Solutions: Utilized Azure for scalable storage and data integration with Azure Data Factory.Data Analysis: Employed advanced Excel functions for detailed trend analysis to inform business strategies.Data Integrity: Implemented validation processes in Python, improving data quality.Predictive Modeling: Enhanced predictive capabilities through hypothesis testing on machine learning models.Data Visualization: Created informative charts with Matplotlib to support data-driven decisions. Show less