Current Coursework: Research & Teaching in Computer Science & Engineering (CSE 200), Machine Learning (CSE 242), Analysis of Algorithms (CSE 201)
CGPA: 9.26/10 | Gold medalist - Department Topper
Course Outline: Data Structures, DBMS, Operating Systems, Computer Graphics, Python
Machine Learning | Text Mining | Advanced Algorithms | Computer Graphics
Java | C | Hadoop | Oracle | Hazelcast | Kafka | Unix | OpenShift | Angular5 | BootStrap | SpringBoot | Python
Travelling | Learning new languages | Music | Thriller novels | Comedy sit-coms
- Course: 115A-02, Introduction to Software Engineering (Prof. Richard Jullig)
- Responsibilities: To mentor projects groups on Scrum, and also to help out on any technical challenges if they face any.
Part of the Market Risk Department: worked on various enhancements to an in-house application which calculated various numbers like PFE, EPE in order to calculate various risks associated with a particular counterparty.
Developed an application having two major modules in just 6 sprints:
1. Interactive visualization of the huge application ecosystem which exists in the bank (D3.js, AngularJS, Spring)
2. Agility assessment portal; can be scaled to conduct any type of survey (Spring, Oracle)