At Infosys Limited, I analyzed financial data quality in investment banking, monitoring more than 10,000 records daily. My validation frameworks raised data accuracy to 98% and reduced systemic errors by 40%.
I automated monthly and quarterly reporting pipelines with Python, reducing manual effort by 60%. I also managed daily data quality exceptions and conducted root cause analysis, helping reduce recurring technical issues by 22%.
I developed Power BI and ServiceNow dashboards that turned data anomalies into insights for risk assessment and portfolio management. The dashboards reduced reporting time by 50%.
On my data quality dashboard project, I integrated SQL databases with Python ETL scripts to monitor metrics across 15+ data sources, reducing SLA breaches by 35%. I was recognized with Infosys Limited’s Employee of the Year award.
