Data Analyst
Current1) SQL Mastery: Developed and optimized complex SQL queries, achieving a 60% reduction in data retrieval times and a 50% improvement in query performance, enhancing analytics efficiency and accelerating decision - making processes.2) Automation: Implemented end-to-end automation of multiple project workflows, eliminating 100% of manual tasks and ensuring a seamless transition to the support team by using skill Python, Pandas.3) ETL Expertise: Executed a comprehensive ETL process to extract 20 years of clinical data from the customer transaction database, successfully migrating it to the Innovaccer database, ensuring data integrity and seamless integration. Data Governance, Data Integration, Data Architecture.4) Spark and PySpark for big data processing and analytics, enhancing data transformation efficiency and scalability in project deliverables.5) Responsibility in Projects Data Ingestion, Cleaning, Transformation Using Pandas and SQL, Automate workflow, Handling Large-Scale Data, Dashboard creation and managing team.6) Collaborated with cross-functional teams to lead customer data calls, ensuring data integrity and accuracy, resulting in better-informed decisions.7) Reduced operating costs by automating manual data processes using languages Python.8) Designed interactive Power BI, Tableau customized dashboards and reports for the customer, providing real-time insights into campaign performance, leading to a 30% increase in qualified leads.9) Enhanced P360 application for streamlined access to historical incremental clinical data, Implemented customized logic for SBR execution prioritizing latest demographics based on specific requirements and urgency.10) Established ADT(Admit, Discharge Transfer) and Strategy workflows, efficiently processed customer-provided data from Level 0 to Level 2 schema.
