Adusumilli Sravani
Business Intelligence Developer @Scripps Health
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WORK HISTORY
Business Intelligence Developer @Scripps Health
Responsibilities:· Applied machine learning models using Python and R to analyze patient demographics, treatment effectiveness, and drug utilization trends, improving clinical decision-making and population health management.· Developed predictive models to forecast patient readmissions and emergency room visits, enabling proactive interventions and improving hospital resource planning.· Built classification models to detect anomalies in medical billing and insurance claims, using scikit-learn and TensorFlow, significantly reducing fraud and ensuring compliance with healthcare regulations.· Implemented Natural Language Processing (NLP) using spaCy and NLTK to extract valuable insights from unstructured physician notes and clinical reports, supporting evidence-based care strategies.· Leveraged supervised and unsupervised learning algorithms to identify high-risk patients based on historical clinical data, lab results, and social determinants of health, improving early intervention strategies.· Integrated ML models into EHR systems for real-time clinical alerts and decision-making, enabling timely interventions and improving patient outcomes.· Developed custom AI pipelines using TensorFlow for drug trial analysis, automating the identification of trends in adverse event reports and enhancing post-market surveillance.· Migrated healthcare data systems to AWS for scalable, secure cloud storage, ensuring HIPAA-compliant data access across multiple hospital departments.· Utilized AWS S3 for centralized storage of structured and unstructured data (e.g, clinical trial data, patient records), enabling efficient querying and analysis.· Built and maintained ETL workflows using AWS Glue to automate data extraction from EHR systems, labs, and third-party APIs, ensuring real-time updates.· Deployed AWS Redshift to store large-scale healthcare data, enabling rapid querying and efficient processing of clinical and billing data for advanced analytics.· Utilized Amazon S
EDUCATION
Texas A&M University-Corpus Christi
Master's degree, Computer Science
ABOUT ADUSUMILLI SRAVANI
Actively Seeking New Opportunities Data Analyst | Power BI | Cloud | ETL | AI/ML IntegrationInnovative and results-driven Senior Data Analyst with 6+ years of experience delivering scalable data solutions across healthcare, finance, and e-commerce domains. Proven expertise in designing, developing, and deploying end-to-end data pipelines, dashboards, and predictive models using Python, SQL, Power BI, and Tableau.Skilled in leveraging cloud platforms like AWS and Azure for data engineering and analytics, with hands-on experience in ETL tools such as SSIS, Azure Data Factory, and AWS Glue. Adept at integrating AI/ML and NLP models into business workflows and EHR systems to drive automation and actionable insights.Experienced in Agile/Scrum teams with a strong foundation in statistical analysis, real-time data processing, and stakeholder engagement. Passionate about solving complex data challenges and enabling data-driven decision-making through clean, efficient, and scalable data solutions.contact:s••••••••@gmail.com(68••••••51
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