Data Analyst Power Bi

Tejasree Chunduru

********@****************.*** +1-551-***-**** Jersey City, NJ LinkedIn

Summary

Experienced Data Analyst with over 4 years in the healthcare sector, skilled in deriving actionable insights from complex datasets to enhance patient care and operational efficiency. Proficient in SQL, Python, and R for data analysis, and adept at utilizing Tableau and Power BI for visualization and reporting. Experienced with Electronic Health Records (EHR) and Health Information Systems (HIS), with a strong focus on predictive analytics, data warehousing, and ETL processes. Demonstrates expertise in data quality and governance, and excels in translating data into strategic recommendations. Technical Skills

Languages: Python, SQL, R, DAX, HTML, CSS

Frameworks & Tools: NumPy, Pandas, Matplotlib, GitHub, Docker, Statistics, Agile, SAS, SSIS, PySpark, ggplot2, Snowflake, Seaborn, Sci-kit Learn, Ad hoc, KPI Analysis, Automation Power Query Databases: MySQL, Redshift, Snowflake, Big Query, PostgreSQL, MongoDB, SparkSQL Data Analysis / Tools: Power BI, Tableau, Data Bricks, MS Excel, Google Analytics, Data (Modeling, Mapping, Mining, Extraction, and Transformation), Jira, Confluence

Healthcare Skills: EMR/HER, Medical Coding Systems (ICD-10-CM, CPT), HIPAA Compliance, PHI, PII, FDA, OSHA, HITECH, Claims Submission Processes, Medicare and Medicaid Billing, Patient Advocacy, Contact center experience, HL7 Professional Experience

Data Analyst, IQVIA 01/2024 – Present Remote, USA

Optimized clinical data management using Python (NumPy, Pandas) and SQL, reducing query execution time by 35% to enhance EHR and CDSS access for improved patient outcomes.

Optimized healthcare database on Amazon RDS by restructuring SQL schemas, resulting in 40% faster queries and improved performance of Patient Management Systems for hospital administration, billing, and compliance.

Developed Python-driven data validation checks for 250,000+ daily patient records, ensuring HIPAA compliance and reducing data inconsistencies by 30%.

Implemented real-time analytics using AWS QuickSight, Python, and SQL, creating dynamic reports and dashboards that improved clinical decision-making, hospital resource planning, and healthcare operational efficiency by 20%.

Automated healthcare operations monitoring with AWS CloudWatch and AWS Lambda, reducing downtime by 25% and enhancing patient record access, inventory tracking, and compliance reporting.

Developed Power BI dashboards for real-time insights into patient health and hospital performance, enhancing administrative efficiency by 25%.

Collaborated with healthcare stakeholders to streamline medical records, workflows, and revenue cycles, ensuring compliance with CMS regulations and ICD-10 standards. Data Analyst, Magna Info Tech 02/2019 – 06/2022 India

Managed healthcare administration for a 500+ patient facility, using EHR (Electronic Health Records) and PMS

(Practice Management Systems) to optimize workflows, operating room efficiency, and regulatory compliance.

Implemented a chronic disease management program by analyzing large datasets from EHRs, insurance claims, and patient surveys, leading to a 12% increase in patient satisfaction and a 5% reduction in overall healthcare costs.

Improved healthcare analytics using SAS, R, and SQL, enhancing reporting and insights, which increased patient satisfaction by 15% and reduced response times by 10%.

Ensured healthcare data integrity by 20% through rigorous quality assessments and cleansing using Informatica and Talend, enhancing clinical and financial analysis.

Streamlined patient scheduling, coordination, and administrative workflows for 200+ patients weekly, integrating automated workflows within EHR and PMS to enhance patient intake, appointment scheduling, and records.

Established KPIs for patient outcomes and healthcare efficiency, resulting in a 30% increase in adherence to clinical guidelines and promoting data-driven decision-making.

Deployed healthcare dashboards in Tableau, reducing report generation time by 30% and empowering hospital administrators and stakeholders with data-driven insights to improve resource allocation and patient care quality. Education

Masters of Science, New Jersey Institute of Technology 05/2024 Newark, USA Healthcare System Management

Bachelors in Science, Osmania University 06/2021 India

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