I am currently working as an Engineering Analyst in Goldman Sachs. I pursued my degree in Computer Science at Ira A. Fulton School of Engineering, Arizona State University. I have been enthusiastic about learning and working on Software Development, Data Science and Machine Learning.
As an Engineering Analyst I am working to improve and monitor holistic liquidity risk measures for key regulatory metrics, establish automated reporting methodologies and actively engaging in attribution and analysis of large sets of data to ensure risk management.
I have also gained hands on experience with Serverless Cloud Applications, Full Stack Development, Data Science while doing numerous projects and working with multiple organizations.
Such numerous and versatile professional and academic experiences have engrossed in me the zeal to gain extensive knowledge and the ability to implement them to provide concrete solutions. My goal is to advance a career in Computer Science and make valuable contributions to the field.
Courses: Foundation of Algorithms, Deep Learning, Computing for Data-driven Optimization
CGPA 3.69/4Courses: Database Management Systems, Object-Oriented Programming, Deep Learning, Cloud Computing
CGPA 7.62/10
Developed a Dyna-Q Framework to improve the efficiency and adaptability of resource management tasks. On synthetic data adapted to schedule resource efficiently taking less number of epochs thanother reinforcement learning algorithms.
Organizing and managing events and coding competitions.
Machine Learning assist for University team for AUVSI SUAS competition. Worked on detection and classification of objects from images taken by an aerial unmanned vehicle.