I am a healthcare management professional with 15+ years of experience across primary health, insurance, healthtech, diagnostics and risk consulting sectors in India. Additionally, I specialize in transforming complex health and business data into actionable insights using advanced data analysis, core statistical methods, and interactive data visualization. I specialize in enabling organizations to unlock the full value of their self reported and operational health data. By connecting scattered data points, I help clients identify existing risks, set measurable wellbeing priorities, and assess program impact with confidence. I am Proficient in Microsoft Power BI with hands-on expertise across the full analytics lifecycle—data extraction, transformation, data visualization, and advanced calculations, leveraging Power Pivot for relationship management, efficient semantic layer design and Power Query (including formatting, cleaning, pivot/unpivot, query folding, merge, and append operations) to ensure optimized and scalable data preparation. I am also adept in authoring advanced DAX functions, including time intelligence, calculated measures, and the use of VAR functions to enable complex yet optimized calculations. I have strong capability in building interactive, dynamic dashboards that translate raw datasets into actionable business insights. Many clients collect large volumes of data but struggle to translate it into clear strategies. .”I have substantial experience using data-driven methods to strategies health risk mitigation plan, shape wellbeing program design, and anticipate trends through in-depth analysis of business and health data. With my expertise, you can gain decent understanding on the following areas of health and data analytics : 1. Monitor Workforce Health Trends: Track Health Screening Outcomes (sugar, BP, lipid profiles) across months and years to detect early risk progression. 2. Stratify Health Risks: Segment employees into low, moderate, and high-risk categories based on biometric screenings, Annual Health Check Screening enabling targeted interventions. 2. Understand Disease Prevalence: Identify Top Health Risks (e.g., diabetes, hypertension, obesity, dyslipidaemia) across age, gender, and job roles. 3.Track Demographic Health Patterns: Trends by age, gender, & location spotting vulnerable groups. 4. Leverage Insurance Claims Analysis: Measure OPD/IPD utilization, cost drivers, high-claim cases, and identify top hospitals/providers. 5. Optimize Onsite Health Clinic Utilization: Analyze OHC data to uncover most frequent complaints, symptoms, and absenteeism drivers. 6. Prioritize Wellness Investments: Health analytics would be Instrumental in crafting evidence based appropriate wellbeing intervention for the right audience at the right time. 7. Measure Program Effectiveness: Track employee engagement in wellness initiatives and calculate ROI/VOI of health.