Nishanth Brahmsandra Nanjundaiah Email and Phone Number

• Experienced Healthcare Data Analyst skilled in building and administering Power BI dashboards from scratch, with a focus on comprehensive analysis and visualization of healthcare data. • Proficiently utilized DAX and M languages to manipulate complex healthcare datasets, facilitating precise data transformations and enabling the extraction of accurate insights for impactful reporting.• Conducted exploratory data analysis on electronic health records (EHR), medical claims, and medical registry data, leading to the development of efficient procedures for data extraction, transformation, and integration. This initiative resulted in an impressive 20% improvement in data quality.• Skilled problem-solver with a track record of identifying and resolving root causes of data issues, resulting in improved data quality and informed planning.• Proven ability to extract valuable insights by reviewing and analyzing diverse internal and external data sources, driving informed decision-making processes.• Applied statistical analysis techniques using python to healthcare claims data, enabling the identification and visualization of trends in hospital admission/readmission rates, ER visits, risk scoring, and medical expense ratios. These dashboards contributed to a 15% increase in data-driven decision-making

Project Name: Security Incident Analysis Dashboard• Developed and deployed machine learning models to analyze security incident data, resulting in a 30% reduction in false positive alerts.• Developed interactive dashboards and visualizations using Tableau, resulting in a 40% improvement in client understanding of security trends and incident patterns.• Implemented complex SQL stored procedures and functions, streamlining data processing workflows and achieving a 25% increase in data processing efficiency.• Implemented automated alerting mechanisms to notify stakeholders of critical security incidents, enabling timely response and remediation actions.Project Name: Security Incident Analysis Dashboard• Conducted in-depth exploratory data analysis (EDA) using Python (NumPy, Pandas) and Excel to uncover valuable insights into customer behaviors and preferences.• Conducted A/B testing on segmented customer groups to validate strategic recommendations, resulting in a 25% uplift in conversion rates for targeted service offerings.• Developed Excel dashboards to visualize customer segmentation results, transaction trends, and lifetime value analysis.• Monitored customer satisfaction scores over time, tracking improvements and identifying areas for continuous optimization and refinement.

• Designed, developed, and maintained visually appealing reports, dashboards, and KPI scorecards using Tableau desktop, resulting in a 30% increase in data accessibility and visualization.• Extracted, analyzed, and provided insights from complex data sets using Advanced Excel, by developing VBA programs, macros, power quires and pivot tables to streamline data processing and improve efficiency.• Utilized advanced analytical skills to conduct trend analysis on monthly actual financial data and quarterly forecasts, providing valuable insights into financial performance and identifying potential areas for improvement.• Applied data analytics to evaluate inventory strategies, pinpoint sources of aged inventory, and identified root causes, subsequently providing each location with actionable recommendations for corrective measures.• Collaborated with cross-functional teams, including Finance, Operations, and Sales, to conduct ad-hoc data analyses from various sources, including Salesforce and JD Edwards, identified critical patterns and correlations that informed data-driven recommendations for process improvements, ultimately resulting in a remarkable 25% increase in ROI.• Conducted pricing analysis and contributed to the development of strategies for process improvements, leading to a 15% reduction in non-compliance violations.• Conducted financial analysis within the Supply Chain and Inventory domain, to optimize resource allocation, contributing to a 15% reduction in operational costs while maintaining product availability and customer satisfaction.