Automated Healthcare Data Workflows and Centralized Repository Development

Optimized healthcare data workflows and centralized diverse datasets for enhanced accessibility and decision-making. Automated processes with Python and AWS to streamline storage and improve operational efficiency.

•Implemented Python scripts to automate healthcare data extraction, transforming workflows and improving processing efficiency.

•Developed and maintained a secure, scalable AWS-based centralized data repository, streamlining storage and access for diverse healthcare datasets.

•Directed the implementation of a robust data warehouse, achieving a 25% improvement in data accessibility for timely insights and decision-making.

Advanced Pharmaceutical Data Analysis and Visualization Framework

Built a robust analytics framework to improve data accuracy and simplify KPI reporting. Leveraged Tableau for dashboards and predictive models to enhance claims analysis, forecasting, and efficiency.

•Conducted pharmaceutical claims and drug utilization pattern analysis using GBQ and Tableau, achieving a 20% improvement in data accuracy and operational performance.

•Designed and automated Tableau dashboards for Financial and Marketing KPIs, Sales performance, and Operational metrics, reducing report generation time and saving over 1,000 man-hours quarterly.

•Introduced a Tableau alert system to monitor critical metrics deviations, enhancing response times and reinforcing data integrity and patient care.

•Spearheaded predictive analytics model development in Tableau, resulting in a 20% increase in forecasting accuracy for decision-making.

Business Growth Enablement through Data Integration and Customer Insights

Streamlined data integration and validation to support growth and enhance customer satisfaction. Combined Salesforce CRM and NLP insights to drive engagement and actionable outcomes.

•Extracted, cleaned, and organized sales, operations, finance, and marketing data from various sources, including Salesforce and digital platforms.

•Conducted rigorous data validation to ensure accuracy, supporting data-driven strategies that catalyzed business growth.

•Leveraged NLP LDA models to analyze customer feedback, deriving actionable insights to enhance customer satisfaction and refine engagement strategies.

Tools: Python, SQL, Power BI, Excel