Data Analyst

Yashaswini Yegurla

Maryland Heights, MO ***** +1-314-***-**** *******************@*****.***

Professional Summary

Results-driven Data Analyst and Clinical Data Specialist with 6+ years of experience transforming healthcare and clinical research data into actionable insights across pharmaceutical, insurance, hospital, and health tech environments. Proven track record in designing and optimizing data pipelines, conducting statistical analysis, and supporting regulatory compliance (HIPAA, CDISC, FDA) across the clinical trial lifecycle and healthcare operations. Adept in using tools such as Python, R, SAS, SQL, and Power BI to perform predictive modeling, survival analysis, and build interactive dashboards that drive strategic decision-making. Hands-on expertise with EHR systems (Epic, Cerner, OpenMRS), HIM compliance, and coding standards (ICD-10, CPT, HL7), as well as big data platforms like Hadoop and Spark. Skilled in building scalable data solutions and integrating data from RedCap, claims systems, and clinical trials, while ensuring interoperability and adherence to strict privacy regulations. Recognized for enabling cross-functional collaboration between clinical, biostatistics, and data engineering teams, and consistently delivering accurate, audit-ready datasets that accelerate operational efficiency and improve patient outcomes.

Technical Skills

•Programming Languages: SAS, SQL, R, Python

•Libraries & Frameworks: NumPy, Pandas, Matplotlib, SciPy, ggplot2, TensorFlow, Keras, scikit-learn, XGBoost

•Databases: MySQL, PostgreSQL

•EHR & HIM Systems: Cerner, Epic, SPSS, RedCap

•Statistical & Machine Learning Tools: Regression Analysis, Predictive Modeling, Neural Networks, Deep Learning, Survival Analysis, SPSS-based Statistical Analysis

•Data Management & ETL: Data Cleansing, Standardization, Modeling, Warehousing

•Visualization Tools: Power BI

•Big Data Technologies: Hadoop, Spark

•Version Control & Operating Systems: GitHub, Unix, Windows

•Healthcare Compliance & Documentation: Data Adjudication, Data Governance, Health Information Management (HIM), HIPAA, CDISC, FDA, Deficiency Assignment, Documentation Accuracy

Experience

Centene Corporation Oct 2024

Data Analyst United States

•Drove the full SDLC lifecycle in an Agile environment, including requirement gathering, development, testing, and deployment, to deliver compliant and scalable healthcare data solutions, enhancing project delivery efficiency

•Utilized Python (NumPy, Pandas, Matplotlib) for data wrangling, statistical analysis, and visualization, which enhanced the accuracy and usability of member health and claims data, leading to improved decision-making

•Designed and maintained interactive dashboards using Tableau and advanced Excel, supporting cross-functional teams with actionable insights for performance monitoring and strategic planning, resulting in more informed business strategies

•Ensured 100% compliance with HIPAA, HITECH, and internal data governance standards by aligning data pipelines with Medicaid and Medicare models, which minimized compliance risks

•Applied healthcare interoperability standards (e.g., HL7, ICD-10, CPT) to support consistent and standardized EHR integration, improving longitudinal patient data accuracy and facilitating better patient care

•Performed API testing and integration using OpenMRS and Postman to validate data exchanges between systems, minimizing errors in patient and provider workflows

•Leveraged SQL and PostgreSQL to manage, query, and analyze large-scale claims, enrollment, and encounter data, which ensured timely insights for compliance and operational reporting

Omega Healthcare Dec 2020 - Jul 2022

Clinical Data Analyst India

•Managed end-to-end data operations for clinical and healthcare datasets, including data extraction, cleaning, transformation, and validation.

•Used SQL, Excel, and SAS to manipulate structured data, create ad-hoc reports, and perform exploratory data analysis to support clinical and operational teams.

•Conducted statistical analysis and built predictive models using R and Python, contributing to protocol development and outcome forecasting.

•Created interactive dashboards in Power BI and Tableau to present trends in patient outcomes, treatment adherence, and resource utilization.

•Standardized clinical data using ICD-10, CPT, and HL7 coding systems to ensure consistency and regulatory compliance.

•Worked with EHR systems and supported data mapping and integration tasks across multiple clinical systems, resulting in improved data accuracy and streamlined clinical workflows

•Collaborated with cross-functional teams (data management, biostatistics, medical writing) to ensure data readiness for regulatory submission and internal review.

•Developed and maintained ETL scripts using SQL and Python for automating recurring data workflows and improving efficiency.

•Ensured strict adherence to data privacy and compliance regulations, such as HIPAA and GCP, through quality control and documentation processes.

Mphasis

Mar 2018 - Nov 2020

Data Analyst India

•Extracted, cleaned, and structured clinical data using Base SAS and SQL for analysis and reporting, improving data accuracy and accessibility for stakeholders

•Developed DATA and PROC routines to merge datasets, handle missing values, and derive variables, which streamlined data processing and reduced errors

•Applied SAS functions, PROC SQL, PROC FREQ, and PROC MEANS for data validation and summary, ensuring high-quality data analysis and reporting

•Created macros to automate programming tasks, enhancing workflow efficiency and reducing manual coding time

•Assisted in building ADaM datasets and supported generation of Tables, Listings, and Figures per specifications, contributing to accurate and timely clinical trial reporting

•Wrote optimized SQL queries for extraction, validation, and reconciliation from clinical databases.

•Supported standardization of data using clinical coding systems like ICD-10 and CPT.

•Contributed to Power BI dashboards, showcasing subject status and visit compliance.

Stansys Software Solutions Pvt Ltd Jun 2017 - Feb 2018

Clinical SAS Programmer India

•Managed SAS programming tasks according to Statistical Analysis Plans, ensuring compliance with CDISC and FDA regulations, which improved data integrity and regulatory approval processes

•Developed ADaM datasets from SDTM to provide analysis-ready clinical trial data for oncology studies, enhancing the accuracy and efficiency of data analysis

•Contributed to clinical study reports by analyzing critical oncology endpoints like Progression-Free Survival and Overall Survival, which supported informed decision-making in clinical trials

•Applied ICD coding standards to real-world clinical trial data for effective adverse event classification and safety reporting, improving the accuracy of safety assessments

•Created Tables, Listings, and Figures using advanced SAS methods to fulfill sponsor requirements, which enhanced the clarity and presentation of clinical trial results

•Utilized SAS macros to streamline repetitive tasks, improving reporting efficiency and data management.

•Produced high-quality documentation through Output Delivery System, delivering outputs in RTF and HTML formats for stakeholders.

•Collaborated with cross-functional teams to maintain oncology dataset libraries and support regulatory submissions.

Education

Saint Louis University

Master's, Health Data Science

JSS University Mysore

Doctor of Pharmacy

JNTU Hyderabad

Bachelor of Pharmacy

Certifications

•Base SAS Programming (9.4): SAS global

•Introduction to Python and Data Science: Data Camp

•SQL Server Developer: Data Camp

•Power BI: Pragmatic works with Microsoft

•Intermediate to R: Data Camp

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