SWATHI VAJRALA

• Developed and implemented statistical models to analyze clinical and epidemiologic research data, generating actionable insights for research studies and scientific publications.

• Managed end-to-end data preparation activities, including data cleaning, validation, quality assurance, variable derivation, and creation of analysis-ready datasets.

• Applied advanced statistical methodologies, including regression modeling, longitudinal data analysis, causal inference, mediation analysis, structural equation modeling (SEM), path analysis, latent variable modeling, and predictive analytics to address complex research questions.

• Developed and evaluated predictive models and machine learning algorithms to improve outcome classification, identify risk factors, assess model performance, and support data-driven decision making.

• Performed model validation and testing using metrics such as sensitivity, specificity, accuracy, predictive values, ROC curves, and other performance measures to ensure robust and reliable results.

• Developed statistical analysis plans (SAPs), interpreted findings, and provided methodological guidance to multidisciplinary research teams.

• Collaborated with investigators and clinicians to design studies, refine research questions, select appropriate analytical approaches, and translate statistical findings into meaningful conclusions.

• Generated publication-ready tables, figures, flowcharts, dashboards, and visualizations for manuscripts, abstracts, grant reports, scientific posters, and conference presentations.

• Contributed to peer-reviewed publications through statistical review, interpretation of results, methodological support, and manuscript development.

• Presented study findings through scientific posters, conference presentations, investigator meetings, and research seminars.

• Maintained well-documented programming code, analytical procedures, and reproducible research workflows using SAS, R, and other statistical software to ensure accuracy, transparency, and reproducibility.

• Conducted surveillance for infectious diseases, with emphasis on antimicrobial resistance and vaccine-preventable conditions.
• Supported cohort and observational studies, including real-world evidence (RWE) research.
• Collected, cleaned, and integrated data from NHSN, Redcap ,Qualtrics, lab records, and CMS/pharmacy claims.
• Applied multivariable logistic regression, ANOVA,t- tests and survival analysis using SAS and SPSS to evaluate infectious disease outcomes and antimicrobial resistance trends.
• Provided data-driven insights to support outbreak investigations and infection control strategies.
• Created automated SAS macros to improve reporting workflows and reproducibility.
• Designed visual reports and dashboards to communicate findings to public health and healthcare partners.
• Collaborated with Infection Preventionist and epidemiologists on study design and data strategy.
• Interpreted antibiotic use data and presented findings through reports, visuals, and HAI subcommittees (e.g., antimicrobial stewardship).
• Ensured data quality by performing validation checks on large, multi-source datasets.
• Contributed to strategic planning, policy development, and evaluation through targeted analytics.
• Fostered a strong interest in research, with a focus on applying statistical methods to public health decision-making.

• Selected and evaluated relevant exposures and health outcomes for communicable disease research using NHANES data, guided by public health significance and existing scientific evidence.

• Conducted comprehensive literature reviews to identify research gaps, formulate study objectives, and support study development.

• Collaborated closely with the Principal Investigator throughout all phases of research, from study conceptualization and design to data analysis, interpretation, and dissemination of findings.

• Applied statistical methods to assess associations between exposures and health outcomes, interpret results, and draw evidence-based conclusions.

• Presented research findings to faculty, investigators, and fellow students through oral presentations, posters, and scientific discussions.

• Assisted in manuscript preparation, results interpretation, and development of publication-quality tables and figures.

• Conducted quality assurance audits to ensure compliance with protocols, HIPAA, and regulatory standards.
• Designed case report forms (CRFs/eCRFs) and supported Institutional Review Board (IRB) submissions.
• Managed clinical data collection, integration, and validation for ongoing trials.
• Applied pharmacometric methods for dose optimization and collaborated with cross-functional teams to support study planning.