Vipan Parajuli Email & Phone Number

Lake Charles, La, Us

At UnitedHealthcare, I analyzed claims, patient outcomes, and clinical data using SQL and Python to identify trends in healthcare utilization and optimize resource allocation. I developed healthcare cost prediction models that improved budget forecasting accuracy by 20%. I also designed interactive Tableau dashboards to track key performance metrics and automated ETL workflows with Informatica to streamline data integration. Additionally, I conducted risk stratification analysis to enhance care management strategies, utilizing Azure and Snowflake for scalable data solutions.Key Contributions:-Improved budget forecasting accuracy by 20% through predictive analytics.-Automated ETL processes, reducing manual data processing time by 30%.-Designed Tableau dashboards to track patient care and operational efficiency.-Conducted risk analysis to optimize targeted healthcare interventions.-Leveraged cloud-based data solutions (Azure, Snowflake) for scalable reporting.

At T-Mobile, I analyzed large-scale customer data using Python to drive insights on churn prediction and customer segmentation. I developed interactive Power BI dashboards for real-time KPI tracking across sales and marketing teams. I also implemented Hadoop and Spark to process massive datasets, improving query response times. Additionally, I automated data pipelines with Alteryx, integrating data into AWS Redshift for seamless reporting. My role involved conducting A/B testing and leveraging Google Cloud Platform for scalable, data-driven marketing strategies.Key Contributions:-Enhanced churn prediction and customer segmentation with Python-based analytics.-Improved query response times by 30% through big data processing (Hadoop, Spark).-Built real-time KPI dashboards using Power BI for sales and marketing insights.-Automated data pipelines for seamless integration and reporting (Alteryx, AWS Redshift).

At Wells Fargo, I developed financial data models using R and SAS to predict customer behavior, reduce risk, and drive revenue growth. I led credit risk management projects, visualizing key data trends with SQL and Tableau for senior executives. I also optimized reporting processes by automating ETL pipelines with Talend, significantly reducing processing times. My role involved collaborating closely with finance teams to ensure data governance compliance and improve overall data accuracy.Key Contributions:-Predicted customer behavior and reduced risk through advanced financial modeling.-Automated ETL pipelines, cutting reporting time by 40%.-Delivered key data insights to executives with SQL and Tableau.-Enhanced data accuracy and compliance with data governance standards.