Utkarsh Anant

Developed the Demand Analytics module for the supply chain management solution, VERDIS. Used machine learning and statistical modelling techniques to forecast future demand accurately with testing, validation and feature selection. Applied NLP and data mining techniques to gain insight on the customer reviews and product performance in the marketplace. Developed and configured database (MongoDB) and back-end application using the Python, Flask. Tested and debugged the software to facilitate an easier process and better user experience. Prepared the solution document after understanding the client requirements and identifying the use cases.

Researched, designed and implemented machine learning models to minimize ship resistance. Created customized applications using NXOpen to automate ship stability calculations and predict the parameters having major effects on trim and stability. Researched and analyzed previous ship data using machine learning models to conduct feasibility studies. Proposed technically feasible solutions to optimize parameters at the same time meeting the functional requirements.