Manichandra Domala

Data Analyst @Tata Consultancy Services

US

Designed and developed automated ETL pipelines using Python, SQL, and Azure Data Factory to integrate healthcare claims, patient demographics, and provider data from diverse sources, increasing data availability by 45% and enabling near realtime analytics for operational insights.• Created and maintained interactive Power BI and Tableau dashboards to monitor KPIs such as patient satisfaction scores. claims processing times, and treatment cost trends, empowering executives to make faster, data-driven decisions.• Performed advanced statistical modeling in Python (Scikit-learn, Statsmodels) to forecast patient admissions and resource utilization, improving staffing accuracy by 20% and reducing operational costs.• Collaborated with healthcare operations teams to gather data requirements, design standardized reporting templates, and ensure analytics outputs met HIPAA compliance standards while aligning with organizational KPIs and business objectives.• Implemented data governance frameworks with automated validation scripts, anomaly detection, and quality checks, reducing data inconsistencies by 30% while ensuring compliance with industry regulations and internal standards.• Optimized SQL queries and stored procedures for large datasets by refining indexing, joins, and execution plans, improving query performance by 40% and enhancing the responsiveness of analytics dashboards used by 500+ business users.• Conducted ad-hoc data analyses to assess program performance and treatment outcomes, uncovering key insights that led to targeted interventions and improved patient recovery rates by 12%.• Automated recurring monthly and quarterly reports using Python and VBA, reducing preparation time from 5 days to 1 day and freeing analyst capacity to focus on strategic, value-added initiatives.