Milan Rao's background spans in the field of Software Quality Assurance, Metrics, Customer Satisfaction and Project Management. With over 12 years' experience in the industry, he currently works in Mindtree Limited, Bangalore, where he handles metrics and customer satisfaction. He specializes on exploratory data analysis, process performance benchmarking and statistical modelling for software projects. Prior to joining Mindtree, Milan was with Digite Infotech, Bangalore, where he was a scrum master in a large product implementation project. Milan is a Certified Data Scientist - with specialization in R & Data Visualization - and a Certified Scrum Master.
Using Quantitative Techniques to Improve Performance
Capacity Management: Statistical Modeling
with Ms. Priyanka Yadav
CAM is one of the process areas in CMMI SVC that helps project to manage the demand and ensure that they are able to deliver higher value with optimal resource utilization. In most Maintenance and Testing projects, it is key for teams to be able to manage the availability and capacity KPIs. Managing these requires a strong view of the future demands and the requirements to meet these demands. Models developed using various forecasting techniques and past performance baselines are helping project managers at Mindtree to accurately predict the future demands and the effort required to supply the demands, thereby helping the teams to be capable of achieving the capacity and availability targets.