• Integrate and analyze diverse healthcare data sources using SQL and Python, enhancing overall data accuracy and accessibility by 75%.• Conduct in-depth analysis of claims data, identifying cost-saving opportunities, and optimizing reimbursement processes, resulting in 87% improvement in claims accuracy.• Develop interactive dashboards in Power BI to visualize key healthcare metrics, improving stakeholder understanding and decision-making efficiency.• Implement ETL processes using SSIS, reducing manual data processing time by 3 hours per week and design MySQL table schemas and implemented stored procedures to extract and store customer purchase and session data.• Develop a standardized and normalized data engine for claims reporting using data from commercial insurance payers and Medicare, Medicare-Advantage, and other payers.• Develop risk stratification models to identify high-risk patients, leading to improvement in care management effectiveness and map patient journeys to identify touchpoints for improvement, resulting in a Z% increase in patient satisfaction scores.• Utilize advanced analytics to detect and prevent healthcare fraud, resulting in reduction in fraudulent claimsand perform Exploratory Data Analysis to identify trends using Tableau and Python (Matplotlib, Seaborn, Plotly Dash).• Conduct cost-benefit analyses on healthcare initiatives, showcasing a positive ROI for implemented solutionsand involve in various projects related to Data Modeling, Data Analysis, Design and Development for both OLTP and Data warehousing environments.• Introduce parallel processing techniques in ETL workflows, optimizing data extraction, transformation, and loading for faster processing times.

• Led projects involving the integration of clinical data from various sources, using tools like SQL, Python, and ETL processes to create a unified database for comprehensive patient analysis.• Implemented predictive modeling using machine learning algorithms (Scikit-learn, TensorFlow) to forecast patient outcomes, achieving increase in accuracy in predicting recovery timelines.• Developed interactive dashboards using Tableau and Power BI, providing real-time insights into hospital operations and patient outcomes, contributing to increase in data-driven decision-making.• Writing ad hoc SQL queries employing joins, database connections, and transformation rules to get data from legacy MySQL, Oracle, and SQL Server database systems is one of your responsibilities.• Assisted with cost reduction and ROI improvement through BI reporting, supported by knowledge of advanced analytics, consulting, and ETL.• Gathered requirements and modeled the data warehouse and the underlying transactional database & performed Gap analysis of the processes to identify and validate the requirements.• Developed high performance data integration solutions for data warehousing utilizing the SQL Server SSIS tool, including extraction, transformation, and load packages.• Constructed MA claims, Medicare claims, baseline claims, and monthly claims datasets for, testing, and validation of statistical models.• Responsible for extracting data from various sources, including databases and external APIs, and cleaning and preprocessing it for analysis.• Developed and implemented machine learning models using libraries such as Scikit-Learn and TensorFlow to solve complex business problems.• Designed and executed A/B tests to assess the impact of changes or strategies, optimizing user experiences and product features.• Collaborated with cross-functional teams to develop end-to-end data solutions, including data engineers, business analysts, and software developers.