Varshini S.
Data Analyst @Covenant Health
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WORK HISTORY
Data Analyst @Covenant Health
Lubbock, TX, US
Project: Hospital Readmission PredictionDeveloped a predictive model to identify patients at high risk of hospital readmission, leveraging machine learningtechniques and electronic health record (EHR) data to reduce readmission rates and improve patient outcomes. Utilized strong SQL skills to achieve 95% data completeness in diverse Electronic Health Records(EHRs), ensuring comprehensive data availability for analysis. Deployed Tableau for visualizing insights derived from the predictive models, thereby boostingstakeholder engagement by 20% and facilitating informed decision-making. Conducted comprehensive data wrangling tasks to prepare EHR data for analysis, ensuring data accuracy andconsistency throughout the project lifecycle. Implemented Adobe tracking for key metrics, ensuring accurate tracking and adherence to projectrequirements. Collaborated with team members using Jira and MS Office for efficient project management,facilitating seamless communication, task tracking, and documentation.
ABOUT VARSHINI S.
As a Senior Data Analyst with over six years of experience, I specialize in transforming data into actionable insights that drive business success, particularly in the FinTech sector. My expertise includes payments processing (Swift MT/MX messages, ACH-NACHA formats), financial crimes compliance, and data-driven decision-making. I am passionate about using data to optimize business processes, enhance operational efficiency, and ensure compliance with industry standards.Expertise in FinTech and ComplianceMy career has been built on a strong foundation in FinTech, where I have developed a deep understanding of the intricacies of payments processing and AML compliance. I excel in creating data-driven strategies that mitigate risks, streamline operations, and support business goals. My work is characterized by a commitment to accuracy, compliance, and the ability to turn complex data into clear, actionable insights.Proven Track Record of SuccessI have a proven track record of leading and contributing to impactful projects. At Amazon, I played a key role in optimizing the personalization and recommendation systems on the e-commerce platform. By leveraging SQL and Python, I developed strategies that significantly improved customer engagement and satisfaction. My ability to collaborate effectively across teams ensured that these strategies were successfully integrated into the broader business framework.In my current role at Covenant Health, I developed a predictive model to identify patients at high risk of hospital readmission. This project, which utilized machine learning and electronic health record (EHR) data, led to a measurable reduction in readmission rates and enhanced patient outcomes. My work in data wrangling, visualization, and ETL processes ensured data accuracy, compliance, and accessibility, driving better decision-making across the organization.Technical Proficiency and Continuous LearningI am proficient in a range of tools and technologies, including Power BI, Tableau, Python, and SQL. My expertise also extends to statistical analysis, machine learning, and big data technologies, which I leverage to deliver comprehensive, data-driven solutions. I am committed to continuous learning and growth, always seeking out new challenges to expand my knowledge and skills.
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