MS in Electrical & Computer Engineering
Track: Machine Learning and Data Science
GPA: Not Yet Out
Academic Coursework
- CSE 258 - Reccomender Systems and Web Mining
Focuses on advanced techniques in recommender systems, and predictive analytics, emphasizing practical application of machine learning research.
- ECE 285 - Game Theory and Multiagent Systems
Delves into advanced topics in game theory, focusing on the mathematical rigor and analytical depth.
- ECE 271A - Statistical Learning
Introduces to pattern recognition and statistical learning, covering key concepts like Bayesian Theory, and Parameter Estimation.
BTech in Electrical Engineering
Track: Electronics and Telecommunications
GPA: 3.98/4.00
Academic Coursework
- Machine Learning - Artificial Neural Networks, Machine Learning, Deep Learning, Image and Video Processing
- Mathematics - Probability & Statistics, Calculus, Linear & Vector Algebra
- Computer Science - Data Structures and Design of Algorithms, Cloud Computing, IoT, Information Theory
Travel Grants Coordinator
- Working with the financial wing of the Graduate and Professional Student Association to support students facing financial constraints, enabling them to participate in academic conferences.
- Coordinated the administration of over 500 travel grant applications annually, ensuring all applications were reviewed and processed efficiently.
- Liaised with students, faculty, and the financial department to resolve queries and provide guidance on application submission and fund disbursement.
- Maintained accurate records of grant allocations, ensuring compliance with university guidelines and financial policies.
