● Built an operational dashboard in Power BI to enhance the data management process by transforming raw data log files into cleaned Excel sheets using SQL and Pandas (Python) and automating the workflow with Power Automate, thereby reducing manual work by 2 hours daily.● Created dynamic data visualizations to track login occurrences across 85 different databases by integrating Oracle database with Power BI, utilizing SQL and DAX for data processing and cleaning, which increased data quality and analysis efficiency by 25%.● Identified and resolved missing user profiles in the client database environment using SQL, conducted root cause analysis to ensure data quality in new database setups, and reduced manual user creation time by 40%.

● Developed SQL procedures to streamline the debit activation process for 100 million customers and automated it daily using scripts, ultimately reducing manual activation work from the backend by 20%.● Designed and implemented SQL scripts to generate daily account opening reports for 22,000 bank branches, tailored to client specifications, reducing the daily report generation time by 4 hours.● Collaborated and communicated data analytics results with a cross-functional team to launch institutional account features and processing large financial dataset, benefiting 36 million accounts.● Researched business trends and enhanced the client app by conducting SQL data modeling and thorough root cause analysis, and analyzing patterns using Power BI dashboards, resulting in a 30% increase in app downloads.● Led an 8-member team, reducing daily ticket issues from 500 to 50 through documentation and knowledge transfer to branch employees; earned TCS Star Awards.