At Cognizant, I developed an interactive Power BI dashboard to monitor grid reliability, outage trends, equipment performance, and operational KPIs. I integrated outage, maintenance, smart sensor, and weather data using SQL and Power Query.
I created DAX measures for reliability and restoration metrics, giving teams real-time visibility into more than 500,000 data points per minute. My analytics supported predictive maintenance and weather-based crew planning, contributing to reported improvements in outages, savings, storm response, and SAIDI.
At KPIT Technologies, I developed Power BI dashboards for revenue trends and customer mix, helping managers make data-driven decisions faster. I also used SQL and Python to automate data validation workflows.
In my logistics analysis project, I examined data covering more than 28,000 orders and built dashboards for delivery performance, fleet condition, and customer satisfaction. For my customer churn project, I analyzed customer data and developed a Random Forest classifier with approximately 78% accuracy.
