Hrushikesh Dandge Email & Phone Number

United States

• Spearheaded comprehensive financial analysis and reporting, improving report accuracy and reducing preparation time through advanced Excel and financial software like Bloomberg and SAS.
• Led strategic financial planning for a mid-sized organization, utilizing SAP and Oracle ERP systems to develop financial models and scenario analyses that enhanced annual financial performance.
• Designed and implemented dynamic dashboards in Tableau and Power BI, improving financial metrics visualization and contributing to operational efficiency.
• Built predictive financial models, improving forecast accuracy and streamlining revenue prediction timelines.
• Integrated AWS cloud solutions to streamline data management, reducing data processing time and enhancing secure data accessibility across financial systems.

United States

• Led financial analysis and forecasting using Excel and CCH software to enhance investment strategies, improving prediction accuracy for client tax implications and strategic decisions.
• Developed and applied predictive modeling techniques, allowing clients to better manage risk and capitalize on market trends.
• Designed and implemented interactive financial dashboards using Tableau and Power BI, providing clients with real-time insights and improving visibility into key financial metrics.
• Leveraged AWS for cloud-based data management, enhancing data security and scalability, and improving reporting workflow efficiency.

India

• Gathered, integrated, and processed healthcare records from EHRs, claims databases, and public datasets using SQL and Python, streamlining data ingestion and analysis workflows.
• Leveraged AWS services (S3, Redshift, Lambda) to build a scalable data lake architecture, enabling real-time data processing and improving data retrieval efficiency.
• Developed automated ETL pipelines and engineered variables like risk scores and readmission likelihood, optimizing patient care strategies and enhancing care outcomes.
• Performed predictive analytics and statistical modeling (logistic regression, decision trees) to identify high-risk patients, improving early diagnosis and high-risk identification accuracy.
• Built interactive dashboards in Tableau and Power BI, reducing reporting time and delivering insights on patient engagement, care program effectiveness, and provider performance.
• Led a patient segmentation initiative using clustering techniques, increasing preventive care engagement and improving provider adherence to protocols.

Master'S Degree, Computer Science, 3.94

Bachelor Of Technology, Information Technology, 8.92/10

Course Work: Object Oriented Programming using Java, Operating Systems, Data Structures and Algorithms & Database Management system.