Prajwal Chaudhari

I am a Data Analyst with 4+ years of experience in Data Analytics across Banking and Healthcare. I specialize in SQL, Power BI, DAX, Python, Advanced Excel, ETL, data modeling, data validation, reporting, and dashboard development. In my current role, I work with large datasets to clean, transform, validate, and analyze data. I write complex SQL queries using joins, CTEs, subqueries, window functions, aggregations, and stored procedures to extract meaningful information and support business reporting. I also use Python, mainly Pandas and NumPy, for data cleaning, validation, transformation, and analysis. I have hands-on experience developing Power BI dashboards from scratch, including Power Query, data modeling, relationships, DAX measures, KPIs, filters, drill-through reports, and interactive visualizations. I have worked on dashboards and reports for AML Transaction Monitoring, Customer 360, and Healthcare Claims Analytics. These projects involved analyzing large transaction, customer, claims, and billing datasets to identify trends, exceptions, risks, and business issues. I also have experience with ETL and data integration using Azure Data Factory, Snowflake, and Databricks. My responsibilities include data reconciliation, data quality checks, reporting validation, UAT, KPI analysis, root cause analysis, and resolving data-related issues. Another important part of my role is reporting automation. I have automated recurring reporting activities using Python, Power Query, and Excel, helping reduce manual effort and improve reporting consistency. I also work closely with stakeholders to understand business requirements and convert them into dashboards, reports, and analytical solutions. I am comfortable working in Agile/Scrum environments and have experience with JIRA and Confluence. I am a quick learner, detail-oriented, and interested in using data to solve business problems and support better decision-making.