Riya Soni

Healthcare Data Analyst with 3+ years of experience analyzing claims, EHR, clinical, and population health data across pharmaceutical and payer environments. Proficient in SQL, Python, Excel, Tableau, and Power BI to deliver risk stratification, quality improvement, and data-driven insights while ensuring HIPAA compliance and supporting evidence-based clinical and operational decision-making.

Healthcare Data Analyst - Elevance Health - USA

(2025-01)

• Analyzed large-scale healthcare datasets including claims, EHR, and population health data to identify trends, risk factors, utilization patterns, and preventive opportunities across diverse populations.
• Designed and executed end-to-end data analysis workflows using SQL, Python, and Excel to support population health initiatives, quality improvement programs, and evidence-based decision-making.
• Prepared, cleaned, transformed, validated, and maintained analytical datasets, ensuring data integrity while integrating multiple healthcare data sources for accurate clinical and operational outcome analysis.
• Developed interactive dashboards, visualizations, and recurring reports using Tableau and Power BI to communicate health outcomes, cost drivers, performance metrics, and research findings to stakeholders.
• Collaborated with clinicians, epidemiologists, researchers, and cross-functional teams to translate analytical findings into actionable public health insights and data-driven preventive strategies.
• Conducted literature reviews, background research, and benchmarking analyses to validate methodologies, strengthen hypotheses, and align insights with current scientific evidence and industry best practices.
• Ensured adherence to HIPAA, ethical standards, and healthcare data governance requirements throughout data handling, analysis, reporting, and documentation processes.
• Prepared analytical summaries, progress reports, presentations, and documentation; contributed to manuscripts, abstracts, posters, leadership reporting, conferences, and peer-reviewed publications.

Healthcare Data Analyst - Lincoln Pharmaceuticals Ltd - India

(2021-06 - 2023-07)

• Collaborated with medical affairs, pharmacovigilance, QA/QC, production, IT, and quality teams to gather requirements and define KPIs aligned with FDA, WHO-GMP, ICH, and patient safety standards.
• Extracted, cleaned, and validated clinical trial, adverse event, EHR, manufacturing, laboratory, and treatment data using SQL, Python, Pandas, and NumPy, reducing inconsistencies and missing values by 18%.
• Performed exploratory data analysis using Python and Excel including PivotTables, VLOOKUP, INDEX-MATCH, and conditional formatting to identify adverse reactions, readmission trends, and high-risk populations.
• Developed predictive and risk stratification models using statistical analysis, correlation matrices, logistic regression, and Charlson Comorbidity Index to assess patient risk, safety signals, and readmission likelihood.
• Created interactive dashboards and automated reports using Power BI and advanced Excel visualizations to present drug safety trends, patient risk profiles, length of stay, and quality KPIs.
• Monitored outcomes using control charts and run charts; applied RCA, CAPA, and PDSA cycles; documented analyses in Confluence; and presented insights achieving 22% readmission reduction.

Master's of Science - Biomedical Engineering - University of Florida (2023-08 - 2025-05)

Bachelor of Technology - Biotechnology - Dr. D. Y. Patil Biotechnology and Bioinformatics Institute (2019-08 - 2023-05)