Vaishnavi Kadium

Data Analyst with 3+ Years of experience across claims, EHR, and population health analytics in payer and life sciences environments. Strong in SQL, Python, Tableau, and Excel for transforming complex healthcare data into actionable insights. Proven impact improving reporting accuracy, accelerating decision cycles, reducing cost variance, and maintaining full HIPAA compliance while supporting clinical, operational, and executive stakeholders.

Healthcare Data Analyst - CVS Health - USA

(2025-05)

• Analyzed healthcare claims and population health datasets using complex SQL joins and CTEs, improving reporting accuracy 32% and reducing reconciliation time 27% across clinical teams.
• Built Tableau dashboards tracking utilization, quality indicators, and demographic trends, increasing stakeholder visibility 38% and accelerating clinical decision cycles by 29% organization-wide for care planning.
• Performed large-scale healthcare data cleaning and validation using Python Pandas, reducing data inconsistencies 34% and improving downstream analytics reliability across operational reporting workflows enterprise-wide systems.
• Delivered executive and clinical reports translating utilization patterns, cost drivers, and outcome metrics into actions, supporting planning and performance improvement initiatives by reducing cost variance 21%.
• Applied HIPAA-compliant data handling practices while analyzing sensitive claims datasets, maintaining privacy standards and achieving 100% audit compliance across internal analytics and reporting processes reviews.

Healthcare Data Analyst - Zydus Lifesciences - India

(2022-01 - 2023-12)

• Analyzed EHR and claims datasets using SQL and Excel PivotTables, supporting maternal health analytics and improving clinical outcomes reporting accuracy by 31% across regional programs.
• Automated healthcare data preparation and transformation workflows using Python and Power Query, reducing manual processing effort 35% and accelerating reporting delivery cycles by 26% consistently.
• Conducted descriptive analytics and performance benchmarking to assess utilization trends, care effectiveness, and population health metrics, supporting evidence-based decisions across multiple departments within healthcare operations.
• Designed operational dashboards highlighting efficiency delays, utilization gaps, and cost trends, enabling leadership to identify improvement opportunities and reduce process bottlenecks by 24% enterprise wide.
• Worked closely with clinical and operations stakeholders to validate metrics, interpret insights, and align healthcare reporting with quality standards and compliance requirements improving trust 29%.

Business Analyst - Sysmex - India

(2021-06 - 2021-12)

• Supported extraction and preparation of healthcare datasets using SQL, improving claims analysis accuracy 28% and ensuring reliable inputs for clinical reporting activities within analytics teams.
• Performed Excel-based analysis using advanced formulas and PivotTables to monitor utilization patterns, quality indicators, and demographic trends across patient populations supporting healthcare performance reporting initiatives.
• Executed data cleaning, validation, and consistency checks, reducing dataset errors 30% and improving overall reliability for downstream healthcare analytics workflows used by clinical teams' enterprise wide.
• Assisted with trend and descriptive analysis supporting population health initiatives, operational monitoring, and utilization reporting for ongoing healthcare improvement efforts across departments and regions nationally.
• Applied foundational HIPAA data handling principles while working with healthcare datasets, maintaining confidentiality and compliance awareness across analytics, reporting, and training activities during internship tenure.

Masters - Health Data Analytics - University of North Texas (UNT) (2025-12)

Bachelors - Clinical Nutrition and Dietetics - Wesley Degree College (2022-09)