 Developed Python scripts to automate data extraction processes, resulting in a time savings of 10 hours per week and significantly improving operational efficiency.  Developed and maintained complex models using SQL and Python, leading to a 15% improvement in forecasting accuracy for revenue projections  Designed interactive and impactful dashboards in Tableau and Looker for stakeholder collaboration highlighting actionable insights to identify opportunities for growth leading to 50% increased efficiency  Created and managed complex Pivot Tables to summarize and analyze large datasets, leading to improved decision-making processes and a 20% enhancement in reporting accuracy.  Conducted detailed SAS statistical analysis to identify trends and forecast key metrics, supported strategic planning efforts by providing comprehensive insights into market trends and performance indicators.

 Collaborated with internal and external global teams to elicit and translate requirements into specifications, user stories in Jira, automatd workflows in Excel with macros, VBA for 15% improved efficiency and 20% reduced manual errors  Executed SWOT analysis, statistical analysis and maintained dashboards in Tableau to report and monitor KPIs on provider demographics to senior executives for improving operational efficiency and claims reimbursement process by 64%  Executed comprehensive risk assessments and implemented targeted mitigation strategies, effectively reducing financial riskexposure by 15% and safeguarding company assets.  Extracted, cleaned, and transformed data from cloud databases and CRM systems resulting in 50% enhanced data quality to streamline data analysis and reduced report generation time by 30% through database query optimization  Presented analytical findings to senior management, influencing strategic decision-making and driving business improvementsthrough actionable insights, effectively communicating complex data in a clear and concise manner.

• Streamlined data analysis workflows by automating repetitive tasks with VLOOKUP and XLOOKUP, saving 10 hours per week in manual data manipulation.• Assisted in developing robust financial models for forecasting & budgeting purposes, ensuring accurate and reliable financial projections.• Conducted thorough regression analysis to identify key factors impacting financial performance, effectively optimizing profitability and guiding strategic initiatives.• Prepared detailed, insightful reports, and presentations summarizing comprehensive financial data analysis results, supporting informed decision-making processes