Madhusudhanan Sundararajan

Client: BNSF Rlwy Enhanced crew hiring forecast app which predicts the number of employees to be hired in the coming month based on the historic data, commodity movement, no of trainees, workers on leave. Developed an agricultural train planning application which helps to match the demand with the supply of agricultural train cars. This application was developed using AngularJS for the front-end and Groovy on Grails and MongoDB for the back-end. Developed a backup utility tool for MongoDB.

Client: BNSF Rlwy Developed several applications which helps to build virtual train, match demand and supply, find track utilization across the entire rail road. Enhanced and did performance tuning for several applications.

Worked on a project to identify products with lesser profit margin, apply promotions and purge them out of the store for the second biggest pharmacy chain retailer in the US. We have analyzed the existing system and came up with an algorithm to identify the least profitable products.

Developed and supported various applications including business-critical finance applications for an international toy retailer. My role involved analyzing the existing system to identifying the root cause of issues reported, applying fixes and deploying to production within a very short duration to maintain the business continuity.