Data Analyst Healthcare

Kalanjali Cheemarla Healthcare Data Analyst

MI, USA +1-989-***-**** ********************@*****.*** LinkedIn SUMMARY

Healthcare Data Analyst with 4+ years of proven success in transforming healthcare operations using predictive analytics, advanced visualization, and secure data integration. Skilled in using Python, R, SQL, Tableau, and Power BI to analyze healthcare data, increase claim approval rates, reduce operational costs, and improve patient care metrics. Adept in working across EMRs, ensuring HIPAA compliance, and supporting clinical decisions through data insights. Using data to power operational excellence and strategic healthcare transformation.

TECHNICAL SKILLS

Programming: Python (Pandas, NumPy, Scikit-learn, Matplotlib), R, SQL, SAS Data Engineering: Apache Airflow, Alteryx, SSIS, SQL (T-SQL, PL/SQL) Databases: SQL Server, MySQL, PostgreSQL, Azure SQL Visualization Tools: Tableau, Power BI, Excel (Power Query, Pivot Tables) Cloud & Deployment: Azure Data Factory, Azure ML Studio, Databricks EHR & EMR Systems: EPIC, CERNER, e-Clinical Works, REDCap (Electronic Medical Records & Health Records) Healthcare Knowledge: Medicare, Medicaid, CPT/ICD, HEDIS, HIPAA, HL7 Statistical Methods: Logistic Regression, Random Forest, PCA, Time Series Analysis Techniques: Denial & KPI Monitoring, Anomaly Detection, A/B Testing Project Tools: JIRA, Confluence, Git, Agile/Scrum

Soft Skills: Stakeholder Collaboration, Problem-Solving, Analytical Thinking EXPERIENCE

Healthcare Data Analyst Tenet Healthcare USA Jan 2024 – Present

Built predictive models using Python (Pandas, NumPy, Scikit-learn) and R to uncover trends in Medicare and Medicaid data, helped allocate resources based on data analysis that reduced readmission rates by 20% and cut operational costs.

Designed dashboards for leadership in Tableau and Power BI that displayed up-to-date data into denial trends, reimbursement status, and patient outcome trajectories, improved tracking and sped up claim processing.

Improved handling of large data sets by enhancing SQL-based workflows and automating ETL pipelines across EPIC, e-Clinical Works, REDCap, and CERNER, reduced reporting errors by 25% while made reports more accurate for audits.

Applied Logistic Regression and Random Forest algorithms to classified patients by risk level, helped coordinate care earlier and supported better treatment decisions across multiple departments.

Ensured end-to-end HIPAA compliance for all data pipelines and reports, fostering secure data access during multi-system integration and analytics processes.

Partnered with clinical, operational, and IT stakeholders to use data results in planning, resulting in a measurable 10% boost in key performance indicators across service lines. Healthcare Data Analyst Mphasis India Jun 2021 – Jul 2022

Created statistical models and machine learning solutions in R and Python to analyze healthcare claims and patient records, keep this as-is; it's specific and measurable in approved reimbursements and a 20% decrease in denials.

Developed dashboards with filters and visuals using Tableau and Power BI to monitor claim statuses across Medicaid, Medicare, and telehealth channels, reducing reimbursement cycle durations.

Found key problems in claim denial workflows through detailed problem investigation and implemented fixes based on findings, improving revenue cycle throughput and cutting rejections.

Automated and validated SQL-driven data pipelines to reduce manual intervention, achieving a 40% drop in turnaround time for financial and clinical reporting.

Executed anomaly detection and data validation scripts to protect data accuracy, make reports more reliable for compliance and regulatory reporting.

Maintained rigorous adherence to HIPAA protocols, ensuring data confidentiality and privacy across all client-side reporting initiatives.

Data Analyst Fusion Software Technology India Oct 2019 – May 2021

Built machine learning models in Python for identifying risk and possible fraud in healthcare service workflows, keep; this is performance-driven in operational delays and optimizing the utilization of critical medical resources.

Designed self-updating dashboards in Power BI that significantly shortened analytics cycles by 25%, helping managers get fast updates for strategic adjustments.

Redesigned ETL frameworks using SQL to make data transfer smooth between EMR systems and reporting platforms, increasing reliability and consistency in patient and financial data flows.

Built tools to track performance and executive reports that influenced care delivery enhancements and improved administrative process flows.

Monitored data governance practices to align with HIPAA compliance standards, contributing to a 10% improvement in internal audit scores and improving data reliability. EDUCATION

Master’s in Information Systems

Central Michigan University — May 2024

Bachelor of Technology in Electronics & Communication Engineering Nalla Malla Reddy Engineering College, India — Jul 2021

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