At IBM, I worked on application development for the Downer Train Project, GEICO, and MetLife. On the Downer Train Project, I investigated production issues with SQL query results, application logs, and MongoDB records, and improved MongoDB query performance by 20% through indexing and query optimization.
For my retail customer behavior project, I analyzed 15,000+ transactions and developed an interactive Power BI dashboard with 10+ KPIs and 8 visualizations. I also used Python and SQL to explore customer segments, repeat purchasing, and revenue drivers.
My projects include customer churn and retention analytics, vendor performance and inventory analytics, and COVID-19 data exploration. I used SQL and Python to analyze customer, procurement, inventory, and public health data, and created dashboards and recommendations from the findings.
